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access to an exceptional international research environment offering unique clinical facilities. Requirements: Master's in computer science or equivalent Python/C++ programming skills Strong knowledge
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experience in software like Julia and Python is desirable. 1.7 References 1. Nérot, B., Lamaison, N., Mabrouk, M.T., Bavière, R., Lacarrière, B., 2023, Optimization framework for evaluating urban thermal
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data assimilation. • Proficiency in one scientific programming language: MATLAB, Python, or Julia. LanguagesENGLISHLevelGood Research FieldOther Internal Application form(s) needed
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 3 months ago
equivalent in systems biology, computational biology, bioinformatics, or a similar field. The candidate should have good programming skills in Python or MATLAB, and ideally R. Good knowledge of biochemistry
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 2 months ago
. Participate in the activities of the research team at Inria. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09618 Requirements Skills/Qualifications The candidate is expected to hold
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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MSc in applied mathematics or engineering Strong analytical and numerical skills Knowledge of optimization and operations management Knowledge of programming, possibly Python Preferred knowledge
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-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit). Where to apply Website https://emploi.cnrs.fr/Candidat
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
for the physical characterization of planetary surfaces., in: European Planetary Science Congress. pp. EPSC2024-535. https://doi.org/10.5194/epsc2024-535 Haggstrom, P.L.C. Rodrigues, G. Oudoumanessah, F. Forbes, U