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Field
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to power and energy systems • Proficiency in Python, with experience using optimization frameworks such as Pyomo or Linopy and optimization solvers • Knowledge of advanced optimization and decomposition
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programming tools (Matlab, Python, C++) is essential, and knowledge of NMR/MRI would be a valuable asset. Mechanistic insights and optimization of synchronized respiratory stimulation as a therapeutic
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), - Development skills (Python or equivalent), - Ability to communicate complex results clearly and pedagogically to non-expert stakeholders, - Team spirit, rigor, autonomy, and adaptability. BRGM guarantees a
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field. Strong background in networking, real-time systems, or formal performance analysis. Knowledge of Network Calculus is a plus. Good programming skills (Python, C++, or Java) and familiarity with
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
++, CUDA, Python, and PyTorch LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual
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pipeline engineering Strong proficiency in Python development practices and deep learning frameworks, specifically PyTorch and MONAI Practical knowledge of computer vision, pattern recognition, and image
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(C2 level) French: understanding, speaking, reading (B2 level) Knowledge of linguistic data management tools (Toolbox ~ FLEx, Transcriber ~ ELAN) Python, JavaScript, Json, XML, HTML/CSS Experience in
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-Augmented Generation (RAG); Ontologies and Knowledge Representation; Text Mining and Data Analytics; Python programming and AI libraries; English proficiency at B2 level or higher. Specific Requirements
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of experimental research methods; • Basic skills in statistics and data analysis; • Proficiency in at least one scientific programming language (R, MATLAB, or Python); • Strong analytical and organizational
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, ideally applied to thin-film growth by PVD. Skills in data analysis, programming (Python, etc.), and the ability to work at the interface between simulation and experimentation in collaboration with