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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on
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algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters
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tasks Development and implementation of behavioral protocols Analysis of imaging data Programming analysis tools (Python/Matlab) Associated activities: Participation in team meetings and seminars
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describe the neuronal and behavioral changes associated with pharmacological manipulations, through the development of scripts using software such as Python or Matlab. 1) Conduct electrophysiology
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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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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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processing, as well as proven experience in Mueller polarimetry and optical system characterization. 2) Proficiency in numerical modeling approaches, combined with solid programming skills (Python, Matlab