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independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-021/Default.aspx Work
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively
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solid experience in programming, particularly in Python and JavaScript. Significant experience in data science and machine learning will be highly valued. You like to work in a team while demonstrating
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programming in Python and MATLAB; version control (git) and reproducible workflows. * Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal
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: Python, Pytorch; proficiency in collaborative tools: Git Written and spoken English (B2) Ability to work interactively in a team Open-mindedness Ability to communicate Training in computer science
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the development of new use cases in collaboration with the Virome@tlas consortium, ShapeMed@Lyon and the FR BioEEnviS partners to promote One Health and global-scale approaches. Job profile Expected skills: Python
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required (e.g., Python, Mathematica, Matlab). Some knowledge of nonequilibrium statistical mechanics (Boltzmann and Vlasov equations) and magnetism (spin dynamics, Landau-Lifshitz-Gilbert equation) is
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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mathematical problems with equilibrium constraints Knowledge of simulation/modelling and development tools - MATLAB, Python and mathematical programming language Experience with optimisation solvers would be
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. • Strong oral and written communication skills in English. • Ability to work independently and flexibly