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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data
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++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
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materials will also be appreciated. Advanced knowledge in scientific programming (e.g. Python, Matlab) is also required. LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelGood Research FieldEngineering
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(Python, C++), numerical analysis LanguagesENGLISHLevelExcellent Additional Information Benefits IFP Energies nouvelles is a French public-sector research, innovation and training center. Its mission is to
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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degree involving CFD, physics and/or numerical modelling Specific Requirements Programming skills (Python, C++) LanguagesENGLISHLevelExcellent Additional Information Benefits IFP Energies nouvelles is a
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research. Good communication skills in English are required. Specific Requirements Reverberation chambers. S-parameter measurements. Matlab and/or Python programming. LanguagesENGLISHLevelGood Research
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 22 days ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization