From patrick.bryant at live.com Thu Apr 2 09:42:40 2026 From: patrick.bryant at live.com (patrick bryant) Date: Thu, 2 Apr 2026 07:42:40 +0000 Subject: [SocBiN] Open PhD position with me and AstraZeneca in AI for Orally Bioavailable Cyclic Peptide Design (Non-Natural Amino Acids)! Message-ID: Do you want to learn advanced AI concepts and change the way peptide drugs are developed? Then this position is for you. Building on our recent developments RareFold (https://github.com/patrickbryant1/RareFold) and PepINVENT(https://github.com/MolecularAI/PepINVENT) we will expand peptide design to include oral bioavailability as a design variable. You will also be a part of the prestigious DDLS program and have access to Sweden's biggest computer clusters. The position is fully funded with a competitive package. Apply here: https://astrazeneca.eightfold.ai/careers/job/563877689581243 Best, Patrick Bryant -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik.larsson at gu.se Thu Apr 16 11:48:26 2026 From: erik.larsson at gu.se (Erik Lekholm) Date: Thu, 16 Apr 2026 09:48:26 +0000 Subject: [SocBiN] Computational postdoc position in Gothenburg Message-ID: Hi everyone, Note that there is an opening for a postdoc in my lab in Göteborg, Sweden. Looking for a talented bioinformatician to address exciting challenges in cancer genomics and mitochondrial genetics! Postdoctor in Bioinformatics and Cancer Genetics web103.reachmee.com [X] [Erik Larsson Concept_hires_0.jpg] Human genomics and bioinformatics gu.se Best wishes, Erik Erik Larsson Lekholm Professor Department of Medical Biochemistry & Cell Biology Institute of Biomedicine University of Gothenburg P.O. Box 440 SE-405 30 Gothenburg Sweden Phone: +46 736 735 735 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Erik Larsson Concept_hires_0.jpg Type: image/jpeg Size: 71732 bytes Desc: Erik Larsson Concept_hires_0.jpg URL: From lukas.kall at scilifelab.se Thu Apr 16 08:53:12 2026 From: lukas.kall at scilifelab.se (=?UTF-8?Q?Lukas_K=C3=A4ll?=) Date: Thu, 16 Apr 2026 08:53:12 +0200 Subject: [SocBiN] Two PhD positions in computational proteomics at KTH/SciLifeLab Message-ID: Dear colleagues, I am currently recruiting for two PhD positions in my group at KTH / SciLifeLab, both focused on machine learning in mass spectrometry and proteomics. Please share with anyone who might be interested. --- Position 1: Identification & quantification errors in MS-based proteomics Funding: EU Horizon Europe, Marie Skłodowska-Curie Doctoral Network (ProtAIomics, Project 13) Deadline: 28 April 2026 Apply: https://recruitment.crg.eu/content/jobs/position/protaiomics This position is part of a European network of 16 doctoral candidates, with regular training events, network meetings across Europe, and funding for short stays at partner institutions. --- Position 2: Deep learning for mass spectrometry data Funding: DDLS (Data-Driven Life Science) Research School, Knut and Alice Wallenberg Foundation Deadline: 13 May 2026 Apply: https://www.kth.se/lediga-jobb/919030?l=en We are looking for candidates with a background in machine learning or deep learning (preferably transformer architectures), probabilistic modeling or Bayesian statistics, and Python/PyTorch. Familiarity with mass spectrometry-based proteomics is a plus. The position is embedded in the national DDLS Research School, a major investment in data-driven life science in Sweden. --- Both positions are supervised by Lukas Käll at SciLifeLab / KTH, Stockholm. Best regards, Lukas Käll From arne at bioinfo.se Tue Apr 21 10:08:35 2026 From: arne at bioinfo.se (Arne Elofsson) Date: Tue, 21 Apr 2026 10:08:35 +0200 Subject: [SocBiN] Strategic recruitments from VR Message-ID: There is a VR call: https://www.vr.se/english/applying-for-funding/calls/2025-11-11-strategic-recruitment-of-associate-senior-lecturers-2.html Strategic Recruitment of Associate Senior Lecturers 2 The purpose of the grant is to give the most promising junior researchers the opportunity to develop independence and to build scientific and teaching merits for employment as a senior lecturer. After evaluation, continued funding at senior lecturer level may be granted for up to five years. The grant will also reward mobility and recruitments of strategic relevance for the higher education institution (HEI). It is likely that the priorities (requirements) will be that your PhD is not more than 7 years old at the date of application (Sep 15 2026). If you have an interest in applying for this t come to my department (DBB, Stockholm University) please let me know asap (internal deadline May 20) or follow these instructions *Interested candidates should send the following information no later than May 20 to Martin Högbom, hogbom at dbb.su.se * *- Coverletter, including a motivation why DBB would be a suitable host department (max 1 page)* *- Brief research plan (max 2 pages)* *- CV* *- Publication list* 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: @arneelof.bsky.social 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 rosaaghdam at gmail.com Wed Apr 22 00:05:17 2026 From: rosaaghdam at gmail.com (Rosa Aghdam) Date: Tue, 21 Apr 2026 15:05:17 -0700 Subject: [SocBiN] Computational Biologist Seeking Research Opportunities Message-ID: Dear all, I am a computational biologist currently based in Sweden, seeking research opportunities in bioinformatics, machine learning, and omics data analysis. I am currently a Scientist at the University of Wisconsin–Madison, WI, USA, where I develop statistical and machine learning methods for high-dimensional biological data, including microbiome and gene expression analysis, with a focus on network inference and integrative multi-omics approaches. I have experience developing computational tools (including R packages and Shiny applications) and working on interdisciplinary projects involving large-scale biological data. I would greatly appreciate any information about relevant opportunities or collaborations. My CV is attached. Thank you very much for your time and consideration. Best regards, Rosa Aghdam -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Rosa_CV.pdf Type: application/pdf Size: 105234 bytes Desc: not available URL: From nikolay.oskolkov at scilifelab.se Wed Apr 22 16:42:39 2026 From: nikolay.oskolkov at scilifelab.se (Nikolay Oskolkov) Date: Wed, 22 Apr 2026 17:42:39 +0300 Subject: [SocBiN] postdoc position in metabolic research group Message-ID: I have an open postdoc position in my group. If you're excited about developing machine learning methods for multi-omics data analysis in metabolic diseases, I’d love to hear from you. Please apply here https://euraxess.ec.europa.eu/jobs/430305 Best, Nikolay ****************************************************************** Nikolay Oskolkov, PhD Group Leader, Metabolic Research Group, TARGETWISE project https://targetwise.osi.lv/research/metabolic-research-group/https://www.biology.lu.se/nikolay-oskolkovhttps://nikolay-oskolkov.com/https://scholar.google.ca/citations?user=0DnwWQIAAAAJ&hl=en Latvian Institute of Organic Synthesis (LIOS), Aizkraukles street 21, LV-1006, Riga, Latvia Phone: +46 761 463349 E-mail: nikolay.oskolkov at osi.lv ****************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From nikolay.oskolkov at scilifelab.se Thu Apr 23 13:23:55 2026 From: nikolay.oskolkov at scilifelab.se (Nikolay Oskolkov) Date: Thu, 23 Apr 2026 14:23:55 +0300 Subject: [SocBiN] postdoc in metabolic research group Message-ID: I have an open postdoc position in my group. If you're excited about developing machine learning methods for multi-omics data analysis in metabolic diseases, I’d love to hear from you. Please apply here https://euraxess.ec.europa.eu/jobs/430305 Best, Nikolay ****************************************************************** Nikolay Oskolkov, PhD Group Leader, Metabolic Research Group, TARGETWISE project https://targetwise.osi.lv/research/metabolic-research-group/https://www.biology.lu.se/nikolay-oskolkovhttps://nikolay-oskolkov.com/https://scholar.google.ca/citations?user=0DnwWQIAAAAJ&hl=en Latvian Institute of Organic Synthesis (LIOS), Aizkraukles street 21, LV-1006, Riga, Latvia Phone: +46 761 463349 E-mail: nikolay.oskolkov at osi.lv ****************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Mon Apr 27 13:10:16 2026 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Mon, 27 Apr 2026 13:10:16 +0200 Subject: [SocBiN] Fwd: [Capri] AI in Biology/ Faculty position In-Reply-To: References: Message-ID: 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 ---------- Forwarded message --------- From: Shoshana Wodak via Capri Date: Mon, 27 Apr 2026, 13:06 Subject: [Capri] AI in Biology/ Faculty position To: capri Brussels, April 27, 2026 Dear Capriotes, I hope that all of you are doing well and gearing up to another exciting prediction challenge in collaboration with CASP! I would like to share with you the *opening of new Faculty position at VIB.AI * (Center for AI & Computational Biology) within the Flanders Institute for Biotechnology (VIB), a world-class life sciences institute in Belgium. The Center focuses on research at the interface of AI and biology, and is looking for individuals eager to develop new modeling approaches in close collaboration with experimental labs.. If you have solid expertise in AI and (bio)medical research and are aiming at starting an independent research group, the VIB.AI offers a truly exceptional environment for developing your career. This environment combines deep biological expertise with cutting-edge AI research and strong ties to Ghent University and KU Leuven. More details in the flyer: https://vib.ai/recruitment or on the VIB.AI website: https://vib.ai/en/group-leader-vacancy Please feel free to spread the word to colleagues in your network or postdocs in your department who may be exploring Faculty positions. Thanks & best regards, Shoshana *Prof. Shoshana J. Wodak* *VIB-VUB Center for Structural Biology* *Pleinlaan 2, 1050 Brussels * *Belgium * *ORCID: ** http://orcid.org/0000-0002-0701-6545 * _______________________________________________ Capri mailing list Capri at ebi.ac.uk https://listserver.ebi.ac.uk/mailman/listinfo/capri -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniele.raimondi at igmm.cnrs.fr Wed Apr 29 14:12:20 2026 From: daniele.raimondi at igmm.cnrs.fr (Daniele Raimondi) Date: Wed, 29 Apr 2026 14:12:20 +0200 Subject: [SocBiN] POSTDOCTORAL POSITION IN THE DEVELOPMENT OF MACHINE LEARNING and DEEP LEARNING METHODS GENETICS and BIOINFORMATICS In-Reply-To: References: Message-ID: *POSTDOCTORAL POSITION IN THE DEVELOPMENT OF MACHINE LEARNING and DEEP LEARNING METHODS GENETICS and BIOINFORMATICS* We are looking for a motivated postdoctoral researcher to join the _AI for Genome Interpretation (AI4GI_ ) group at the IGMM (CNRS, Montpellier) for *12 months*. The contract *can be renewed for extra 36 months* if the project passes the evaluation steps. *Are you a machine learning expert, proficient in programming with tensors and vectorial operations (pytorch, numpy)? Do you know the */*ins and outs*/*of machine learning methods and you can build neural networks from scratch? Do you enjoy developing new neural network architectures to solve non-conventional problems? This position might be for you!* We are looking for a *motivated* and curious candidate, with a *strong background in the development of machine learning methods for bioinformatics. * _*Context:*_**The position is based at the Institute of Molecular Genetics of Montpellier (IGMM, CNRS), in a highly international and interdisciplinary research environment. _Montpellier is a dynamic Mediterranean city_ with an exceptional environment, culture and quality of life. It is home to numerous high-quality research institutes and the Montpellier University, a vibrant 70,000 student population and one of the world’s oldest medical schools. _*The Lab: *_The work will be carried out in the _AI for Genome Interpretation (AI4GI_ ) group, led by Dr. Daniele Raimondi. The group focuses on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as whole-genome and exome sequencing. By combining methodological innovation in AI with applications in human genetics, cancer genomics, and plant genomics, AI4GI aims to advance our understanding of genotype–phenotype relationships, and precision medicine. _*The project:*_ This project aims at developing a new paradigm of General Genome Interpretation (GenGI) models by combining *DNA Large Language Models* (DLLMs) with *Deep Neural Networks* to predict human phenotypes directly from Whole Exome Sequencing samples from the *UKBiobank*. The project aims at the wide-spectrum prediction of human phenotypes, unlocking new frontiers in clinical genetics, precision medicine, disease risk prediction, and Explainable AI on genomics data. The candidate will: * Start by familiarizing with existing research and methods for genome interpretation * Familiarize with the sequencing data and its pre-processing * Study how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. * Focus on developing *low level *solutions for the scalability of neural networks and large language models to whole genome sequencing data * Develop *from scratch *algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) * Implement and develop methods for the interpretation of neural network predictions and outputs, including concept-based activation and conterfactual analyses. The project focuses on the development of new neural network architectures to perform inference on sequencing data. *Candidate profile* Bioinformatics and genome interpretation are multidisciplinary and rapidly evolving fields. We are looking for a candidate who: * Has a background in computer science, mathematics, or physics, with a strong focus on machine learning * Is eager to continuously learn new skills, methods, and concepts * Enjoys tackling novel and unforeseen challenges with strong problem-solving skills *Required skills and expertise* * Strong background in neural networks, machine learning, linear algebra, and a working understanding of statistics * Deep understanding of machine learning foundations, including: o Linear algebra (vector and matrix operations) o Optimization methods o Neural networks (with practical experience in PyTorch) * Solid programming skills in Python and scientific computing (e.g., PyTorch, scikit-learn, NumPy) * Proficiency with GNU/Linux environments (including tools such as SSH) * Good communication and teamwork skills *Additional (preferred) qualifications* * Familiarity with GWAS, population genetics, or bioinformatics pipelines * Experience processing genomic data (e.g., whole-exome or whole-genome sequencing) * Basic understanding of genetics and biology *Other information* * The project involves developing unconventional neural network models using PyTorch * A minimum English level of B2 is required * Applications must be submitted in English *Practical details* * Location: IGMM, Montpellier * Duration: *12 months*. * Starting date: flexible, but the candidate must be selected *in the first half of 2026*. If you’re interested in working at the crossroads of AI, machine learning, bioinformatics and genomics - and in developing new methods rather than just applying existing ones - we’d like to hear from you. Applications should be made at this link: https://emploi.cnrs.fr/Offres/CDD/UMR5535-SARADE-107/Default.aspx -------------- next part -------------- An HTML attachment was scrubbed... URL: