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Field
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interfaces. Plan controlled ablation studies and reproducible evaluations using scratch training across multiple seeds, exact train and validation metrics, parity and error analyses, gradient checks, and end
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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programming in Python, R, or an equivalent research language Excellent written and spoken English, intellectual independence, and the ability to collaborate effectively across disciplines; A commitment to
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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through the EU Research Framework Programme? Other EU programme Reference Number CARNOT HyLBM - PostDoc CFD Is the Job related to staff position within a Research Infrastructure? No Offer Description
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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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framework for unsupervised deep imaging phenotyping and imaging GWAS. The lab is now expanding these programs across pangenome informatics, clinical deployment-oriented AI, and multimodal imaging genetics
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the EU Research Framework Programme? Horizon Europe - EIC Reference Number 101307322 Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like a job in
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Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation