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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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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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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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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
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of dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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-validation, uncertainty analysis, design of experiments). Advanced proficiency in at least one programming language (Python or C++). Soft skills Ability to work independently, to operate in
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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