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related to scientific computing - A solid background in multi-linear abler and tensor contractions software development - Proficiency in multiple programming languages (Python, C/C++, or Fortran), ideally
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months 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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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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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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labelling of proteins and/or DNA; - has advanced skills in image analysis based on single molecule detection; - has experience with programming (our group mainly works in Python); - has experience in cell
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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
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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