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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 5 hours ago
learning and have strong mathematical skills. Knowledge of bandit models is a plus. LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits Subsidized meals Partial reimbursement
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National University. This is an exciting opportunity to join a dedicated team of chemists, material science experts and neuroscientists and work on cutting-edge research projects. Where to apply Website
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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PyTorch. ✔️ You have a good knowledge of linear algebra and statistics. ✔️ You have good listening, analysis and synthesis skills, and are curious and open-minded. ✔️ You are adaptable, autonomous, rigorous
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- Proficiency in English (written and oral) Know-how : - Experience in the design and the development of complex software within an international organisation - Very good knowledge in Unix (Mac OS or Linux
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. Interaction with the OSI team is encouraged (e.g., collaboration with C. de Marez, a SWOT expert). The primary goal is to refine our understanding of high-frequency dynamics in a region characterized by highly
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of the Solid Electrolyte Interphase (SEI) at the surface of the graphite negative electrode to reach good performances, long lifetime and safety. More generally, it is necessary to stabilize the electrode
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to use 3D acquisition and processing tools (laser scanning/LiDAR and photogrammetry) and be proficient in producing geomorphological maps at different resolutions. The candidate should also have knowledge
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. Good experience in data analysis, knowledge of statistical techniques for high energy physics ex-periments, and an interest in detector development are required. Previous experience with the analysis
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skills include expertise in programming with Python, C, and C++ languages, as well as solid experience in model design, tuning, and evaluation. A good understanding of microarchitectures is an asset, as is