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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 30 days ago
, reinforcement learning and design optimisation. This development will result in an open-source software component (C++ and Python) integrated into the SOFA platform, accompanied by comprehensive documentation and
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Skills and Experience: PhD (or equivalent) in Physics, Computer Science, Engineering, or a related scientific field; Postdoctoral experience is an advantage; Strong programming skills in Python
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of command-line tools, Python, or R for data analysis is a significant advantage. Language: Proficiency in English (written and spoken) is mandatory, as this is an international collaboration project. French
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disciplines. The candidate must be familiar with the modeling, simulation, and design of photonic devices (Python, Matlab, Lumerical) as well as nanofabrication processes, particularly for silicon photonic
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of programming languages (Matlab, Python, etc.), for post processing development; • Fluent English, both written and spoken; • Ability to work in a team on multi-disciplinary projects Candidates must hold a
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(Fortran, Python, etc.) with Linux ; - good knowledge of land surface models like ISBA and interest in learning to use permaFOAM - interest for physical and biogeochemical processes in permafrost soils
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset
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or equivalent) in physics A background in solid state physics is highly recommended Aptitudes in programming (Python) are a plus Proficiency in English (working language at the ESRF) Working conditions Your shall
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alignment, lasers, fibre optics, or low-flux detection is a strong asset. • Skills in modelling and scientific computing (Python, Matlab, etc.). • A rigorous, hands-on approach and enthusiasm for working