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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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, particularly in areas such as machine learning theory, probability theory, optimization, and linear algebra. Experience with random matrix theory is a plus. Programming experience in Python. Familiarity with
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 hours ago
/public/classic/en/offres/2026-10471 Requirements Skills/Qualifications Technical and software skills and level required : Good programming skills in Python, MATLAB, and C++. Ability to design and implement
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in bioinformatics, molecular biology, computer science, or a related field; Strong bioinformatics skills, including programming in a Linux environment (Bash, R, Python) and familiarity with commonly
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Python to uncover molecular mechanisms of PTSD Evaluate and integrate current scientific literature to support ongoing research projects and hypothesis development Prepare scientific manuscripts and
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Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
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/statistical skills in Python or MATLAB are essential, as are excellent communication and collaboration skills. Interdisciplinary interests are particularly welcome. We are committed to equality, diversity, and
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learning, materials characterisation or computational materials science. Previous experience with machine learning, computer vision, graph neural networks, Python, SEM/EBSD, XRD, image analysis