From ovidiu.radulescu at umontpellier.fr Sun Apr 2 14:39:58 2023 From: ovidiu.radulescu at umontpellier.fr (Ovidiu Radulescu) Date: Sun, 2 Apr 2023 14:39:58 +0200 Subject: [SocBiN] Tenure track position on AI and multiscale modeling in biology and bio-medicine Message-ID: Dear All, My lab hires a junior professor in AI and multiscale modeling in biology and bio-medicine. We are looking for outstanding candidates, susceptible to be promoted full professor at the end of the review process. The candidate is expected to develop anautonomous and original research program in AI oriented towards the exploitation of multi-omics and imaging data in infectiology, or oncology, or fundamental biology. The interpretability of the AI approaches should be a strong component of the project. More details can be found at https://systems-biology-lphi.cnrs.fr/cpj Best wishes, Ovidiu Radulescu -- Prof. Ovidiu Radulescu Université de Montpellier ------------------------------------------------------------------- LPHI - UMR 5235 CNRS/UM   Phone: +33-(0)4-6714-9221 Pl. E. Bataillon - Bat. 24      Fax:   +33-(0)4-6714-4286 Université de Montpellier      email:ovidiu.radulescu at umontpellier.fr CP 107 34095 Montpellier Cedex 5 FRANCE -- Cet e-mail a été vérifié par le logiciel antivirus d'Avast. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sermarcue at gmail.com Mon Apr 3 09:00:00 2023 From: sermarcue at gmail.com (Sergio Martinez Cuesta) Date: Mon, 3 Apr 2023 08:00:00 +0100 Subject: [SocBiN] Senior Data Scientist - Hit Discovery at AstraZeneca (Cambridge, UK) Message-ID: Hi all, I hope this finds you well. We have a new opening in the Data Sciences and Quantitative Biology department at AstraZeneca (Cambridge, UK). The successful candidate will provide computational analysis and statistical solutions to enable and enhance the output from our hit discovery platforms to drive drug discovery efforts in close collaboration with laboratory and automation scientists. If you know of anyone looking for a new career opportunity or reaching his/her end-of-contract, please share this. The deadline for applications is *April 19th.* https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/UK---Cambridge/Senior-Data-Scientist---Hit-Discovery-_R-162689-1 Thanks, Sergio --- Sergio Martinez Cuesta Associate Director in Bioinformatics Discovery Sciences, AstraZeneca R&D Cambridge, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From phil at seqera.io Mon Apr 3 09:33:55 2023 From: phil at seqera.io (Phil Ewels) Date: Mon, 3 Apr 2023 07:33:55 +0000 Subject: [SocBiN] Job: MultiQC Python developer - Seqera Labs (remote) Message-ID: Hi everyone, I'm looking for someone to come and work with me on MultiQC! https://multiqc.info/ MultiQC is an open-source project that's been running for about 8 years now. It's got an enormous user base (>3.2k journal citations, docs get about 2k visitors a week) but has basically been a solo effort until now. It moved with me when I joined Seqera Labs and now we're looking to really start taking the project to the next level. It'll stay 100% open source and we have a tonne of cool ideas that are waiting to be worked on.. Seqera has offices in Barcelona, but the position can be fully remote. I'm based in Stockholm. I'm looking for someone with strong experience in Python, any work with front-end web stuff is a bonus. Details on the position and how to apply at: https://seqera.io/careers/multiqc-software-engineer Phil -- Phil Ewels, Ph.D. Lead Developer Advocate at Seqera Labs phil at seqera.io Barcelona | Stockholm -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Mon Apr 3 15:37:33 2023 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Mon, 3 Apr 2023 15:37:33 +0200 Subject: [SocBiN] CryoNet Message-ID: https://www.scilifelab.se/event/6th-cryonet-symposium-in-stockholm/ 6th CryoNET Symposium in Stockholm CryoNet is a Nordic network in Cryo-electron microscopy that aims to promote collaboration and knowledge sharing across national borders. A main goal is to help establish state-of-the-art cryo-electron microscopy as a strong pillar of Nordic life science research. The core of the network is formed by the Cryo-EM facilities at the University of Copenhagen, Aarhus University, Stockholm University and Umeå University. The network also reaches out to Cryo-EM sites in Norway and Finland. The 6th CryoNET Symposium will take place October 4-5 2023 at Stockholm University. Take the opportunity to hear from world leaders in the field and network with students and researchers! Participation in the symposium is free of charge and includes two days of lectures and a symposium dinner on October 4. We will start at 9:00 on Wednesday 4 October and finish 16:30 on Thursday 5 October. We strongly encourage students and postdocs to submit an abstract about their research project. A number of abstracts will be selected for short talks and there will be a poster session for everyone during the symposium. 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 Twitter: @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 rik.wierenga at oulu.fi Tue Apr 4 07:49:23 2023 From: rik.wierenga at oulu.fi (Rikkert Wierenga) Date: Tue, 4 Apr 2023 05:49:23 +0000 Subject: [SocBiN] crystallography course in Oulu, Finland In-Reply-To: References: Message-ID: Dear All, Below is the announcement of a crystallography course in Oulu, Finland May-29 to June-2. The deadline for applications for the in-person participation is already next week. The program can be found here: https://www.oulu.fi/en/events/instruct-eric-course-macromolecular-x-ray-electron-and-neutron-crystallography-2023 The program includes remote data collection at MAXIV. Best Regards, Rik Wierenga, FBMM, University of Oulu ________________________________ From: CCP4 bulletin board on behalf of Lari Lehtiö Sent: 31 March 2023 12:41 To: CCP4BB at JISCMAIL.AC.UK Subject: [ccp4bb] Crystallography course in Oulu, Finland May29-June2 Dear colleagues, We are organizing an Instruct-ERIC course in Oulu on X-ray, neutron and electron crystallography. Please see the details in the web pages. https://instruct-eric.org/events/instruct-eric-course-on-macromolecular-x-ray-electron-and-neutron-crystallography-2023/ https://www.oulu.fi/en/events/instruct-eric-course-macromolecular-x-ray-electron-and-neutron-crystallography-2023 The deadline for applying to the practical on-site part is 10.4.2023. Best wishes, Lari -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Fri Apr 14 17:21:37 2023 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Fri, 14 Apr 2023 17:21:37 +0200 Subject: [SocBiN] ACDL 2023, 6th Advanced Course on Data Science & Machine Learning |June 10-14| Riva del Sole Resort & SPA - Italy Early Registration: by April 23 - From Deep Learning to Foundation Models Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by April 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Zürich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lectures: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lectures: Principled Approaches to learn low-dimensional structures via Deep Networks Gerhard Paass, Fraunhofer Institute -IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lectures: TBA Qing Qu, University of Michigan, USA Lectures: TBA Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Raphaël Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, École Normale Supérieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Località Riva del Sole – Castiglione della Pescaia (Grosseto) CAP 58043 – Tuscany – Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Fri Apr 14 17:21:37 2023 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Fri, 14 Apr 2023 17:21:37 +0200 Subject: [SocBiN] ACDL 2023, 6th Advanced Course on Data Science & Machine Learning |June 10-14| Riva del Sole Resort & SPA - Italy Early Registration: by April 23 - From Deep Learning to Foundation Models Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by April 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Zürich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lectures: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lectures: Principled Approaches to learn low-dimensional structures via Deep Networks Gerhard Paass, Fraunhofer Institute -IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lectures: TBA Qing Qu, University of Michigan, USA Lectures: TBA Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Raphaël Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, École Normale Supérieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Località Riva del Sole – Castiglione della Pescaia (Grosseto) CAP 58043 – Tuscany – Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Fri Apr 14 17:21:37 2023 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Fri, 14 Apr 2023 17:21:37 +0200 Subject: [SocBiN] ACDL 2023, 6th Advanced Course on Data Science & Machine Learning |June 10-14| Riva del Sole Resort & SPA - Italy Early Registration: by April 23 - From Deep Learning to Foundation Models Message-ID: * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL2023, An Interdisciplinary Course: From Deep Learning to Foundation Models Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2023.icas.cc acdl at icas.cc EARLY REGISTRATION: by April 23 https://acdl2023.icas.cc/registration/ Oral Presentation Submission Deadline: by April 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2023.icas.cc/lecturers/ Luca Beyer, Google Brain, Zürich, Switzerland Lecture 1: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 1/2" Lecture 2: "Large-Scale Pre-Training & Transfer in Computer Vision and Vision-Text Models 2/2" Lecture 3: "Transformers 1/2" Lecture 4: "Transformers 2/2" Aakanksha Chowdhery, Google Brain, USA Lectures: TBA Thomas Kipf, Google Brain, USA Lecture 1: "Graph Neural Networks 1/2" Lecture 2: "Graph Neural Networks 2/2" Lecture 3: "Structured Representation Learning for Perception 1/2" Lecture 4: "Structured Representation Learning for Perception 2/2" Pushmeet Kohli, DeepMind, London, UK Lectures: TBA Yi Ma, University of California, Berkeley, USA Lectures: Principled Approaches to learn low-dimensional structures via Deep Networks Gerhard Paass, Fraunhofer Institute -IAIS, Germany Lecture 1: "Introduction to Foundation Models" Lecture 2: "Foundation Models for Retrieval Applications" Lecture 3: "Combining Foundation Models with External Text Resources" Lecture 4: "Approaches to Increase Trustworthiness of Foundation Models2 Panos Pardalos, University of Florida, USA Lectures: TBA Qing Qu, University of Michigan, USA Lectures: TBA Alex Smola, Amazon, USA (TBC) Zoltan Szabo, LSE, London, UK Lecture 1: "Shape-Constrained Kernel Machines and Their Applications" Lecture 2: "Beyond Mean Embedding: The Power of Cumulants in RKHSs" Michal Valko, DeepMind Paris & Inria France & ENS MVA Lecture 1: "Reinforcement learning" Lecture 2: "Deep Reinforcement Learning" Lecture 3: "Learning by Bootstrapping: Representation Learning" Lecture 4: "Learning by Bootstrapping: World Models" TUTORIAL SPEAKERS: Each Tutorial Speaker will hold more than four lessons on one or more research topics. Raphaël Berthier, EPFL, Switzerland Lecture 1: "Implicit Regularization in Neural Networks" Lecture 2: "Incremental Learning in Diagonal Linear Networks" Lecture 3: "Approaches to Study Dynamics of Neural Networks" Lecture 4: "The Fast-Slow Regime of Neural Networks" Bruno Loureiro, École Normale Supérieure, France Lectures 1-10: "Wonders of high-dimensions: the maths and physics of Machine Learning" Varun Ojha, Newcastle University, UK Lecture 1: "Characterization of Deep Neural Networks" Lecture 2: "Backpropagation Neural Tree" Lecture 3: "Sensitivity Analysis of Deep Learning and Optimization Algorithms" https://acdl2023.icas.cc/lecturers/ PAST LECTURERS: https://acdl2023.icas.cc/past-lecturers/ ACDL 2023 VENUE: Riva del Sole Resort & SPA Località Riva del Sole – Castiglione della Pescaia (Grosseto) CAP 58043 – Tuscany – Italy p: +39-0564-928111 f: +39-0564-935607 e: events at rivadelsole.it w: www.rivadelsole.it https://acdl2023.icas.cc/venue/ PAST EDITIONS: https://acdl2023.icas.cc/past-editions/ REGISTRATION: https://acdl2023.icas.cc/registration/ CERTIFICATE & 8 ECTS: PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. Anyone interested in participating in ACDL 2023 should register as soon as possible. Similarly for accommodation at the Riva del Sole Resort & SPA (the Course Venue), book your full board accommodation at the Riva del Sole Resort & SPA as soon as possible. All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2023 Directors. -------------- next part -------------- An HTML attachment was scrubbed... URL: