From daniele.raimondi at igmm.cnrs.fr Tue Aug 11 12:32:31 2026 From: daniele.raimondi at igmm.cnrs.fr (Daniele Raimondi) Date: Tue, 11 Aug 2026 12:32:31 +0200 Subject: [SocBiN] =?utf-8?q?AI_Engineer_/_Bioinformatician_=E2=80=93_AI_fo?= =?utf-8?q?r_Drug_Discovery_position_in_Montpellier?= In-Reply-To: References: Message-ID: AI Engineer / Bioinformatician – AI for Drug Discovery Join the *AI for Genome Interpretation (AI4GI)*group at *IGMM-CNRS, Montpellier*, for a 13-month engineer position with the possibility of renewal for up to 3 additional years. You will work at the intersection of *machine learning, bioinformatics, chemoinformatics and cancer biology*, in a collaboration between Raimondi and Hahne laboratories. The goal is to develop AI methods to predict drug responses in *treatment-resistant CMS4 colorectal cancer*and accelerate the discovery of new therapeutic molecules. Your work will include: * Developing *novel PyTorch-based machine learning methods*for drug-response prediction. * Integrating *pharmacogenomic, molecular and phenotypic data*from resources such as GDSC, DepMap and CCLE. * Developing molecular representations using *chemoinformatics, molecular fingerprints and graph-based approaches*. * Building an *Active Learning, experiment-in-the-loop framework*that selects the most informative compounds for experimental validation. * Applying the resulting models to the *virtual screening of 78 billion compounds*in the Enamine REAL chemical library. * Working closely with experimental cancer biologists to iteratively improve the computational models. We are looking for someone with strong *Python and machine learning skills*, a solid understanding of *mathematics, statistics and deep learning*, and familiarity with scientific computing and Linux. Experience in *bioinformatics, chemoinformatics, pharmacogenomics, drug-response prediction, GNNs, Active Learning, uncertainty estimation or HPC/GPU computing*is a strong advantage. This is an opportunity to develop *new AI methodologies with direct applications to drug discovery*, while working in a highly interdisciplinary and international research environment at IGMM-CNRS in Montpellier. *Contract:*13 months, renewable up to 3 years *Salary:* depending on experience, from around €2,521 gross/month *Benefits:*44 days annual leave/RTT, remote-working support, 75% public transport reimbursement and mobility allowance up to €300 *_Candidates can apply at this link_* https://emploi.cnrs.fr/Offres/CDD/UMR5535-SARADE-117/Default.aspx -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at physalia-courses.org Tue Aug 11 15:17:31 2026 From: info at physalia-courses.org (info at physalia-courses.org) Date: Tue, 11 Aug 2026 15:17:31 +0200 (CEST) Subject: [SocBiN] =?utf-8?q?Online_workshop_-_Machine_Learning_for_Multi-O?= =?utf-8?q?mics_Integration_=2821=E2=80=9323_September=29?= In-Reply-To: <1786105615.999712827@webmail.jimdo.com> References: <1786105615.999712827@webmail.jimdo.com> Message-ID: <1786454251.098632111@webmail.jimdo.com> Dear all, There are only a few seats remaining for our upcoming online course, Machine Learning for Multi-Omics Integration, taking place 21–23 September. Course website: [ https://www.physalia-courses.org/courses-workshops/multiomics/ ]( https://www.physalia-courses.org/courses-workshops/multiomics/ ) This three-day course combines lectures and hands-on sessions to provide practical training in modern machine learning approaches for integrating multi-omics datasets. Participants will gain experience with state-of-the-art methods, including feature selection, DIABLO, MOFA, deep learning, autoencoders, and single-cell integration using Seurat. If you are interested in joining, we encourage you to register soon, as only a limited number of places are still available. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alyce.whipp at helsinki.fi Fri Aug 28 13:47:28 2026 From: alyce.whipp at helsinki.fi (Whipp, Alyce M) Date: Fri, 28 Aug 2026 11:47:28 +0000 Subject: [SocBiN] Job opening for Postdoctoral Researcher / Bioinformatician in cancer research at University of Helsinki Message-ID: Job opening for Postdoctoral Researcher / Bioinformatician in cancer research at University of Helsinki Deadline September 18 (rolling interviews) See job description and application details here: https://jobs.helsinki.fi/job/Helsinki-Postdoctoral-Researcher-Bioinformatician-in-cancer-research/1370670357/?feedId=350602&utm_source=CareerSite_UniversityOfHelsinki Alyce =========================================== Alyce M Whipp, PhD (she, her, hers) Project Coordinator (Kekäläinen group, Vähärautio group), Research Services (YPA), University of Helsinki Biomedicum 1 (room B301b) Haartmaninkatu 8 00290 Helsinki, Finland 02941 23735 / +358 (0)50 560 8402 [cid:988da6b1-6ebe-4c41-b924-a4dc730315e9][cid:df40b5ea-b49c-4aba-9f81-27c01ef43c7b] Language Editor, University of Helsinki Language Services Visiting Researcher, Kaprio group (Institute for Molecular Medicine Finland, FIMM) *I aim for a sustainable work--life balance. I don’t expect a reply to this email from you outside of your normal working hours.* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 64398 bytes Desc: image.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 117999 bytes Desc: image.png URL: