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experience in perturbative large-scale structure modeling (LSS), in particular biased dark matter tracers, in simulated dataset analysis, as well as strong programming skills in Python and C. Familiarity with
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Eligibility criteria - Finite element numerical simulation using ANSYS APDL software - Hyperelastic biomechanical modeling - Python programming - Public speaking - Integration into a research team comprising
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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Information Eligibility criteria - PhD in astronomy, computer science or related fields - Proficiency with several of the following languages / programming models: C/C++, Python, CUDA, OpenMP, MPI, PyTorch
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
experience in programming in Python and use of relevant architectures, software, and libraries, such as HyPyP - used for analyzing random pairs and therefore IBS. The successful candidate must be able work in
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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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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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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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Python programming Qualifications, education Qualification: PhD Field of study: Computational mechanics, biomechanics. Additional Information Benefits Gross monthly salary According to experience and