From vijudangi at yahoo.co.in Thu Oct 2 22:00:05 2025 From: vijudangi at yahoo.co.in (viju dangi) Date: Thu, 2 Oct 2025 20:00:05 +0000 (UTC) Subject: [SocBiN] DDLS fellow at Stockholm Uniersity In-Reply-To: References: Message-ID: <982217039.2031686.1759435205594@mail.yahoo.com> Hello Professor Elofsson, It seems, I got this email by some error. But still it is interesting.Once I also tried in silico analysis of an enzyme oxalate oxidase for a paper but could not develop interest in Bioinformatics beyond that. I guess, I needed some support and guidance, but it was not available then. Though, I am not qualified for this post, but wonder, if there could be any chance as a postdoc in somewhat related interdescilplinary field?  Human robotics, which applies most rules of robotics on humans, like training and enforcement tactics, limited or misplaced information, psychological manipulations etc. Surveillance abuse and personal data collection of common people by MNCs and governments play a crucial role in that. They call that "Show, Don't Tell", a show of real lives, which political parties along with MNCs are playing with people worldwide. Instead of human robotics, it can also be called managing people or creating puppets to control each and every aspect of their lives. It is happening with all of us worldwide even without our knowledge. How is it related to Bioinformatics?Data, simulation and creation of similar structure of protein from related species and drug development. Almost same procedure is there for making desired robots or puppets in the form of humans. Instead of proteins, it's on humans, so "Social tales of social engineering", a multidisciplinary approach can better explain that. What is Social tales of social engineering?As the name indicates, it is about social tales of social engineering. Media culture and alternations of its ingredients help in social engineering by political parties and MNCs. Observations and some real lives case studies from the surrounding, helped in understanding how governance, system, culture, rituals, education system of any place and people lives are so interconnected with the codes of that place or politics. And how they impact human lives differently in different types of systems from birth to death. In case this topic interests you, then it can be really interesting topic to expand your research area. If not, even then your suggestions are welcome for any such lab or collaborative team. Like my research area, my CV is also a lost from track kinda deviation, attached with this email.  Thank you RegardsDr. Vijay Dangi On Tuesday 30 September, 2025 at 01:15:19 pm IST, Arne Elofsson wrote: Come work with me. Excellent startup package.  https://su.varbi.com/en/what:job/jobID:855037/ - Login and apply - Assistant Professor in Data-driven cell and molecular biology At Stockholm University the Department of Biochemistry and Biophysics (DBB) and the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) are looking to fill one position as DDLS fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see www.scilifelab.se/data-driven.  During 2022-2024, the first and second round of 39 Fellows joined and now we are looking to recruit an additional group of 11 Fellows. Each DDLS Fellow will receive a recruitment package of 17 MSEK (about 1.6 MUSD) for a 5-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track positions with the host organizations, which assume the responsibility for the long-term faculty appointments following a tenure evaluation. The future of life science is data-driven. Will you be leading the change with us? Then join us in this unique program! The position comes with an attractive recruitment package. Subject Data-driven cell and molecular biology Subject description Data-driven cell and molecular biology covers research that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Main responsibilities Research and in addition some teaching and supervision. Qualification requirements In order to qualify for the position as assistant professor, the applicant must have completed a doctoral degree in Sweden or an equivalent degree from another country. Priority will be given to applicants who have received such a degree no more than seven years before the deadline for applications. However, an applicant who has received such a degree earlier may be considered under special circumstances. Special reasons could be sick leave, parental leave or other similar circumstances. All teaching positions at Stockholm University require the ability to collaborate and the general ability and suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research skills. Teaching skills will also be considered. The assessment of research skills will focus primarily on merits within the subject area of the position. About the employment This position (in Swedish, “biträdande lektor”) is a tenure track position, and the qualification requirements and terms of employment are regulated by the Higher Education Ordinance (SFS 2024:673). For this position, the assistant professor is employed for a fixed term of six years. The contract may be extended to a maximum of eight years under special circumstances, such as due to sick leave or parental leave. An assistant professor may, on application, be promoted to a permanent position as associate professor. Specific criteria for promotion from assistant professor to associate professor have been established by the Faculty of Science. An application for promotion to associate professor should be submitted to the faculty at least nine months before the appointment as assistant professor expires.  The formal employment will, after agreement with the hired candidate, either be at the Department of Biochemistry and Biophysics or the Department of Molecular Biosciences, The Wenner-Gren Institute.  During the first six years, the main workplace for this position will be at the Science for Life Laboratory. Assuming a successful promotion to Associate Professor, the main workplace will thereafter be decided together with the department. We offer With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The university is located in the National City Park with good transport links to the city. Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all. Contact Further information about the position can be obtained from Professor Catarina Rydin, catarina.rydin at su.se. For questions regarding the application process, please contact administrator Rahwa Ghebresellase, phone: +46 8 16 21 27, rahwa.ghebresellase at su.se. Application Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the University’s instructions, and that it is submitted before the deadline. We would appreciate it if your application is written in English. Since it will be examined by international experts, English is the working language. Teaching positions: Instruction and application template. The University’s rules of employment and instructions for applicants are available at: How to apply for a position. The criteria for promotion within the Faculty of Science are available at: Guidelines – Employment Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth. | Type of employment | Temporary position | | Contract type | Full time | | Salary | Individual salary setting | | Number of positions | 1 | | Full-time equivalent | 100 % | | City | Stockholm | | County | Stockholms län | | Country | Sweden | | Reference number | SU FV-3234-25 | | Union representative | - Saco-S, saco at saco.su.se - ST/OFR, st at st.su.se - Seko, seko at seko.su.se | | Published | 15.Sep.2025 | | Last application date | 15.Nov.2025 | Share links Return to job vacancies Grade Varbi Recruit recruitment system Cookies Terms Data privacy policy Accessibility statement   Yours Arne -----------------------------------------   Arne Elofsson                  Science for Life Laboratory   Tel:+46-(0)70 695 1045   Stockholm University   http://bioinfo.se/               Box 1031,   Email: arne at bioinfo.se   17121 Solna, Sweden Bluesky: @bioinfo.se  Twitter/X: @arneelof   Mastodon: @arneelof at fediscience.org   Zoom: https://stockholmuniversity.zoom.us/my/arneelof/   Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ   ORCID: 0000-0002-7115-9751_______________________________________________ SocBiN mailing list SocBiN at lists.su.se https://lists.su.se/mailman/listinfo/socbin-at-sbc.su.se -------------- next part -------------- An HTML attachment was scrubbed... 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Name: Vijay Dangi CV .docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 11165 bytes Desc: not available URL: From dirk.repsilber at oru.se Tue Oct 7 15:23:37 2025 From: dirk.repsilber at oru.se (Dirk Repsilber) Date: Tue, 7 Oct 2025 15:23:37 +0200 Subject: [SocBiN] =?utf-8?q?Doktorand_/_PhD_position=3A_Bioinformatics_and?= =?utf-8?q?_Mechanistic_Modelling_for_Precision_Medicine=2C_=C3=96rebro_Un?= =?utf-8?q?iversity=2C_Schweden?= Message-ID: <2ca67019-3cf0-4179-b66c-4a057b30c52f@oru.se> *Doktorand / PhD position: Bioinformatics and Mechanistic Modelling for Precision Medicine, Örebro University, Schweden* Deadline for application: 2025-10-31 Website for application: https://www.oru.se/english/career/available-positions/job/?jid=20250281 Join the X-HiDE/ROSETTA research collaboration to develop and evaluate hybrid modelling approaches that integrate mechanistic models of inflammation and diet-inflammation interactions with statistical models using large-scale molecular data. The project aims to improve disease phenotype classification and deepen mechanistic understanding across inflammation driven complex diseases, and dietary response types. This interdisciplinary work connects bioinformatics and systems biology approaches with precision medicine, and responsive nutrition, and is integrated with international and industry partners. The PhD position is located at the School of Medical Sciences (MV), Örebro University, a modern and expanding university with approximately 1,600 employees and 17,000 students. MV also hosts the university's medical program and drives several research centers primarily focused on inflammation, metabolism, and nutrition. X-HiDE, Exploring Inflammation in Health and Disease, is a strategic research initiative at Örebro University. Using a systems-analytical approach, and employing different kinds of modelling approaches, X-HiDE explores the mechanisms of inflammation across different diseases to investigate shared and distinct inflammatory phenotypes. The Research Center Responsive Nutrition, ROSETTA at oru, is a multidisciplinary research initiative focused on the complex interactions between diet and human gut, metabolic and mental health. By combining advanced molecular analysis with clinical studies, ROSETTA aims to identify how and when individual differences affect dietary health effects. The project explores how food can be used as a tool to prevent or manage inflammation-mediated disorders, such as IBS, IBD and various mental disorders and supports the development of personalized nutrition strategies. Both environments are part of Örebro University's new Center for Food and Health and bring together interdisciplinary expertise and collaborate closely together and with academic, clinical, and industrial partners to advance precision medicine and translational research. The Bioinformatics group at Örebro University is an integrated part of both centres, with focus on new methods for analysing and modelling molecular data, cellular mechanisms and clinical phenotypes, based on both statistics/machine learning and computational mechanistic modelling. The group specializes in analysing complex OMICs datasets (e.g., transcriptomics, proteomics, microbiota) to uncover biosignatures and causal mechanisms in health and disease. Their work connects systems biology, statistical learning, and translational medicine, with applications in inflammation research, gut-brain interactions, and personalized nutrition. Supervision: You will be supervised by Dirk Repsilber (prof bioinformatics, principal supervisor) and a team of assistant supervisors from both research platforms, X-HiDE and Rosetta. The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study. Our ambition is to enable stimulating and purposeful doctoral studies for you, throughout the programme, until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking. You will be offered to join the national Graduate School MedBioInfo, for advanced courses in Bioinformatics and networking on a national level. The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 31,300 a month. For more information about the programme and the doctoral studentship, contact Professor Dirk Repsilber (dirk.repsilber at oru.se). -- ______________________________________________________ Dirk Repsilber Bioinformatics School of Medical Sciences (MV) University of Örebro S - 701 82 Örebro Sweden +46 73 270 7633 https://www.oru.se/personal/dirk_repsilber ______________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kimleeng at gmail.com Fri Oct 10 13:59:33 2025 From: kimleeng at gmail.com (Kim Ng) Date: Fri, 10 Oct 2025 13:59:33 +0200 Subject: [SocBiN] Opportunity: Python developer roles in public health informatics (SSI) Message-ID: We’re hiring software developers at Statens Serum Institut (SSI) in Copenhagen to help strengthen national pathogen surveillance systems. If you or someone you know has experience in Python, data pipelines, or bioinformatics, take a look and feel free to reach out with any questions. https://candidate.hr-manager.net/ApplicationInit.aspx?cid=5001&ProjectId=191016&DepartmentId=10453&MediaId=2801 Kind regards, -Kim Ng -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniele.raimondi at igmm.cnrs.fr Sat Oct 11 00:09:23 2025 From: daniele.raimondi at igmm.cnrs.fr (Daniele Raimondi) Date: Sat, 11 Oct 2025 00:09:23 +0200 Subject: [SocBiN] 18 months POST-DOCTORAL position in bioinformatics / machine learning in Montpellier In-Reply-To: References: Message-ID: Dear colleagues, please feel free to share the offer below for a 18 months post-doc in Bioinformatics/Machine Learning at the IGMM (CNRS) in Montpellier (France). ** *Postdoctoral Position – Mixed Effects Neural Networks for Genome Interpretation* * We are looking for a motivated postdoctoral researcher to join the AI for Genome Interpretation (AI4GI ) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics, machine learning and deep learning. The projectInterpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving this could revolutionize genetics, medicine, and agricultural technology, leading for example to the development of better crops, able to face the challenges posed by global warming._Objectives:_ This project is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference of Linear Mixed Models (LMMs). The project’s goal is to develop a new breed of Mixed Effects Neural Networks (MENN) for Genome InterpretationI that take the best from both worlds, merging the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plantsand humanphenotypes. These models will combine the flexibility of neural networks with the statistical robustness of linear mixed models to tackle one of biology’s most fundamental questions: how do genetic variants determine phenotypes? The postdoc will: * Start by familiarizing with existing research and methods for genome interpretation (GI NNs, LMMs, GWAS). * Familiarize with the sequencing data * Develop and benchmark MENN prototypes on sequencing datasets (WES/WGS), starting first from model organisms and then working on disease risk prediction in humans. _Candidate profile:_We are looking for a motivatedand curious candidate, with a strong passion for scienceand for scientific discovery through the use and creation of new neural networks and machine learning methods. Bioinformatics and Genome Interpretation are multi-disciplinary and rapidly evolving fields. Therefore, the candidate is expected to 1) be eager to continuously learnnew skills, methods and concepts, and 2) to enjoy finding new solutionsin the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra(vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving skills, 4) familiarity with GNU/Linuxenvironment. A good understanding of the basic concepts of Bioinformatics is not necessary but welcome. The project will consist in developing un-orthodox Neural Network models with Pytorch. At least the B2 level of English is required. Skills requiredWe are looking for someone with: * Strong backgroundin neural networks, machine learning, linear algebra and an understanding of statistics. * Solid programming skills in Pythonand in scientific computing(PyTorch, scikit-learn, numpy, etc). * Familiarity with GNU/Linux. * Problem solving skills. * Good communication and teamwork skills. * Knowledge of linear/mixed models is a plus. * Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. * Experience with the processing of genomic biological data (whole exome or genome sequencing) is a plus _Practical details_ * Location: IGMM, Montpellier (with joint supervision at IMAG). * Duration: 18 months. * Starting date: flexible, but the candidate must be selected beforethe end of 2025. If you’re interested in working at the crossroads of AI, statistics, and genomics—and in developing new methods rather than just applying existing ones—we’d like to hear from you. You can apply from this link * emploi.cnrs.fr Portail Emploi CNRS - Offre d'emploi - Postdoctoral Researcher – Mixed-Effects Neural Networks for Genome Interpretation (M/F) 🔗 https://emploi.cnrs.fr/Offres/CDD/UMR5535-SARADE-091/Default.aspx?lang=EN -------------- next part -------------- An HTML attachment was scrubbed... URL: From ingemar.andre at biochemistry.lu.se Fri Oct 10 09:37:38 2025 From: ingemar.andre at biochemistry.lu.se (=?Windows-1252?Q?Ingemar_Andr=E9?=) Date: Fri, 10 Oct 2025 07:37:38 +0000 Subject: [SocBiN] Postdoctoral position in AI-driven protein design Message-ID: Dear all, A postdoctoral position in AI-driven protein design is available in Ingemar André’s research group at Lund University. For more information and instructions to apply, visit https://lu.varbi.com/en/what:job/jobID:864488/type:job/where:4/apply:1. Best, Ingemar -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Tue Oct 14 11:27:56 2025 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Tue, 14 Oct 2025 11:27:56 +0200 Subject: [SocBiN] Application experts in AI for Life science Message-ID: Two AI application expert positions in Stockholm https://su.varbi.com/en/what:job/jobID:864441/ Application specialist in AI for life science The Department of Biochemistry and Biophysics is now searching for two positions as Application specialist in AI for life science to the Swedish AI factory at Stockholm University. SciLifeLab (SciLifeLab) is a national center for molecular biosciences with a focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the Department of Biochemistry and Biophysics, at Stockholm university, more information about us, please visit: www.dbb.su.se. NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden. This recruitment includes the Swedish node of the EuroHPC-funded network of European AI Factories in collaboration with RISE AB. The AI Factory Service Hub is operated as a project under the Horizon Europe framework program and will include up to 50 AI experts and other staff working close to academic and industrial users across the EuroHPC member states to advance AI solutions, training, business and workforce development. Please read more: www.naiss.se, https://eurohpc ju.europa.eu/ai-factories_en. Main responsibilities As an application specialist, your responsibility will be to support researchers in the life sciences in carrying out concrete AI projects. This includes compiling, organizing, and sharing key datasets, assisting with resource allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics data, and personalized medicine, including the use of language models. The role also involves organizing training and joint activities in AI for life sciences, collaborating with other infrastructures in Sweden and across the EU, and contributing to the leadership of the European working group on AI in the life sciences. The work will be located within the Elofsson research group ( https://bioinfo.se), which is located at the Science for Life Laboratory. Elofsson has worked on protein structure predictions and evolution for over two decades. He has worked on various techniques using machine learning and other computational techniques. His most important contributions to this work are the methods he developed for assessing quality of protein models, notably Pcons and various versions of ProQ. The group comprises 5 PhD students, one postdoc, and one senior researcher. Qualification requirements Requirements are: Doctoral degree including work in machine learning applied to the life sciences Experience in large-scale computing and/or organizing large datasets in the life sciences Proven ability to independently author scientific publications Excellent communication skills in oral and written English Ability to convincingly convey the importance and impact of a complex scientific project to a broad range of stakeholders. Of merit are: Experience in developing custom AI models within the life sciences Experience working in multinational environments and engaging with international organizations and funding bodies Experience from EU and/or EuroHPC projects Experience in writing proposals for compute time or similar research resources Experience in collaboration with industry or public sector organizations Strong communication skills in oral and written Swedish. About the employment This is a full-time, indefinite-term employment with a six-month probationary period. Stockholm University applies individual salary setting. Start date as agreement. We offer With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all. Contact Further information about the position can be obtained from SU representative for Mimer, Arne Elofsson, arne.elofsson at dbb.su.se, or Director of Mimer, Rossen Apostolov, rossen at naiss.se. Application Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete and that it is submitted before the deadline. The instructions for applicants are available at: How to apply for a position. Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth. Yours Arne ----------------------------------------- Arne Elofsson Science for Life Laboratory Tel:+46-(0)70 695 1045 Stockholm University http://bioinfo.se/ Box 1031, Email: arne at bioinfo.se 17121 Solna, Sweden Bluesky: @bioinfo.se Twitter/X: @arneelof Mastodon: @arneelof at fediscience.org Zoom: https://stockholmuniversity.zoom.us/my/arneelof/ Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ ORCID: 0000-0002-7115-9751 -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Thu Oct 16 13:29:38 2025 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Thu, 16 Oct 2025 13:29:38 +0200 Subject: [SocBiN] Assistant Professor in Data-driven cell and molecular biology - Stockholm University Message-ID: [image: Logo for Stockholms universitet] [image: Undersökning under mikroskop.] Assistant Professor in Data-driven cell and molecular biology https://su.varbi.com/en/what:job/jobID:855037/where:4/ At Stockholm University the *Department of Biochemistry and Biophysics (DBB)* and the *Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) *are looking to fill one position as DDLS fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) , coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young group leaders (“Fellows”), over 210 postdoctoral positions and has established a research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see www.scilifelab.se/data-driven. During 2022-2024, the first and second round of 39 Fellows joined and now we are looking to recruit an additional group of 11 Fellows. Each DDLS Fellow will receive a recruitment package of 17 MSEK (about 1.6 MUSD) for a 5-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track positions with the host organizations, which assume the responsibility for the long-term faculty appointments following a tenure evaluation. The future of life science is data-driven. Will you be leading the change with us? Then join us in this unique program! The position comes with an attractive recruitment package. Subject Data-driven cell and molecular biology Subject description Data-driven cell and molecular biology covers research that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. The applicant is expected to have a strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Main responsibilities Research and in addition some teaching and supervision. Qualification requirements In order to qualify for the position as assistant professor, the applicant must have completed a doctoral degree in Sweden or an equivalent degree from another country. Priority will be given to applicants who have received such a degree no more than seven years before the deadline for applications. However, an applicant who has received such a degree earlier may be considered under special circumstances. Special reasons could be sick leave, parental leave or other similar circumstances. All teaching positions at Stockholm University require the ability to collaborate and the general ability and suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research skills. Teaching skills will also be considered. The assessment of research skills will focus primarily on merits within the subject area of the position. About the employment This position (in Swedish, “biträdande lektor”) is a tenure track position, and the qualification requirements and terms of employment are regulated by the Higher Education Ordinance (SFS 2024:673). For this position, the assistant professor is employed for a fixed term of six years. The contract may be extended to a maximum of eight years under special circumstances, such as due to sick leave or parental leave. An assistant professor may, on application, be promoted to a permanent position as associate professor. Specific criteria for promotion from assistant professor to associate professor have been established by the Faculty of Science . An application for promotion to associate professor should be submitted to the faculty at least nine months before the appointment as assistant professor expires. The formal employment will, after agreement with the hired candidate, either be at the Department of Biochemistry and Biophysics or the Department of Molecular Biosciences, The Wenner-Gren Institute. During the first six years, the main workplace for this position will be at the Science for Life Laboratory. Assuming a successful promotion to Associate Professor, the main workplace will thereafter be decided together with the department. We offer With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The university is located in the National City Park with good transport links to the city. Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all. Contact Further information about the position can be obtained from Professor Catarina Rydin, catarina.rydin at su.se. For questions regarding the application process, please contact administrator Rahwa Ghebresellase, phone: +46 8 16 21 27, rahwa.ghebresellase at su.se. Application Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the University’s instructions, and that it is submitted before the deadline. We would appreciate it if your application is written in English. Since it will be examined by international experts, English is the working language. Teaching positions: Instruction and application template . The University’s rules of employment and instructions for applicants are available at: How to apply for a position . The criteria for promotion within the Faculty of Science are available at: Guidelines – Employment Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth. Type of employment Temporary position Contract type Full time Salary Individual salary setting Number of positions 1 Full-time equivalent 100 % City Stockholm County Stockholms län Country Sweden Reference number SU FV-3234-25 Union representative - Saco-S, saco at saco.su.se - ST/OFR, st at st.su.se - Seko, seko at seko.su.se Published 15.Sep.2025 Last application date 15.Nov.2025 To apply you must first logout from your company account Share links [image: Powered by Grade Varbi Recruit recruiting software (Varbi logo)] Grade Varbi Recruit recruitment system Cookies Terms Data privacy policy Accessibility statement Yours Arne ----------------------------------------- Arne Elofsson Science for Life Laboratory Tel:+46-(0)70 695 1045 Stockholm University http://bioinfo.se/ Box 1031, Email: arne at bioinfo.se 17121 Solna, Sweden Bluesky: @bioinfo.se Twitter/X: @arneelof Mastodon: @arneelof at fediscience.org Zoom: https://stockholmuniversity.zoom.us/my/arneelof/ Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ ORCID: 0000-0002-7115-9751 -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Wed Oct 29 08:57:56 2025 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Wed, 29 Oct 2025 08:57:56 +0100 Subject: [SocBiN] Senior Applied Researcher - MSR AI for Science Message-ID: From Frank Noe see: aka.ms/bioemu-applied Basicly we’re looking for a computational biologist / bioinformatician who would enjoy running and automating BioEmu and other structure-based tools and databases on very large scale and creating structure-based models of dynamics of entire pathways or proteomes. The person should be quite technical and have a good understanding of structural biology (tricky combination). The person will also co-lead a partnership with a drug discovery collaborator who will bring in lots of experimental data to train the next BioEmu version and be responsible for helping to make the connection between experimentalists and ML researchers. Do you know anyone who might be a fit and is available? They need to have a PhD (or expect it soon), but they could be significantly more senior. Senior Applied Researcher - MSR AI for Science Multiple Locations, Germany + 1 more location Save Share job Date posted Oct 01, 2025 Job number 1885746 Work site 3 days / week in-office Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Research Sciences Employment type Full-Time ------------------------------ Overview At Microsoft Research AI for Science , we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs. We seek a highly motivated Senior Applied Researcher to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins - how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery. Our BioEmu-1 model was published in Science (see our blog post for links to our open-source software and other resources and this explainer video ). Qualifications Required: - PhD or equivalent research experience in Chemistry, Biophysics, Physics, Computer Science, Bioinformatics or a related field. - Demonstrated passion and proven excellence in computational molecular biology, biophysics, or bioinformatics via impactful projects, publications, or open‑source code. - Experience with biomolecular modeling/bioinformatics (e.g., folding systems, structural analysis, MD simulation, structure/genome databases). - Excellent technical communication for interdisciplinary work. - Comfortable with real‑world data that lack structure/cleanliness/completeness. - Proficiency in Python and data analysis packages (NumPy, SciPy, Pandas). Preferred: - Experience with deep learning methods and software packages (PyTorch, JAX, Tensorflow). - Experience with structural biology or molecular biology data/techniques (e.g., cryo‑EM, binding assays, spectroscopy, expression, sequencing). - Background or advanced training in structural biology; familiarity with structure prediction and/or MD work-flows. #Research #AI for Science In line with our Flexible Work approach, for roles at Microsoft Germany, we recommend spending at least two days per week in the office or at the customer site. The actual number of days to work from the office or at the customer will be defined in agreement between the employee and their manager. Responsibilities - Model biomolecular structure and dynamics at scale: Use BioEmu, structure/sequence databases, and complementary tools to analyze proteins and complexes. - Innovate and improve analysis technologies: Develop and implement scalable technologies to analyze and quantify conformational transitions, structural flexibility, and changes in complex formation for many biomolecular complexes. - Generate biological hypotheses and insights: Integrate biomolecular structure and dynamics data to generate experimentally-testable predictions and biological insights. - Collaborate with experimentalists: collaborate with wetlab scientists to test computational predictions. Learn to read and interpret their data and work together to challenge and improve hypothesis of biomolecular function. - Support drug‑targeting strategies: Partner with leading drug discovery experts to identify targets and propose mechanisms of action. - Operationalize at scale: Build robust Python pipelines; automate large‑scale inference and analysis jobs on Azure with reproducible work-flows. - Partner across disciplines: communicate clearly with ML researchers and experimental/computational biologists; present results and influence project direction. - Work autonomously and as a team player, regularly reporting insights, risks, and next steps. - Aim for impact: translate findings into artifacts others can use (code, datasets, internal reports, and when appropriate - papers). ------------------------------ Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. **Industry leading healthcare **Educational resources **Discounts on products and services **Savings and investments **Maternity and paternity leave **Generous time away **Giving programs **Opportunities to network and connect ------------------------------ Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations . Yours Arne ----------------------------------------- Arne Elofsson Science for Life Laboratory Tel:+46-(0)70 695 1045 Stockholm University http://bioinfo.se/ Box 1031, Email: arne at bioinfo.se 17121 Solna, Sweden Bluesky: @bioinfo.se Twitter/X: @arneelof Mastodon: @arneelof at fediscience.org Zoom: https://stockholmuniversity.zoom.us/my/arneelof/ Scholar: http://scholar.google.se/citations?user=s3OCM3AAAAAJ ORCID: 0000-0002-7115-9751 -------------- next part -------------- An HTML attachment was scrubbed... URL: