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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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of the GRISLI model Code programming in Python and Fortran Write scientific articles - good level of English required Analysis of a large set of GRISLI simulations and sensitivity study Presentation of results
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Bayesian statistics, stochastic modeling, and optimization under uncertainty • Proficiency in Python programming • Strong interest in applied and transferable research • Knowledge of industrial simulation
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Eligibility criteria Strong skills in analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr
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processing and modelling • Rock mechanics, and inversion • Computation: Linux, Matlab or Python Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6524-AUDCHA-035/Default.aspx Work
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the ability to analyze data using tools like Python. On a transversal level, the candidate should demonstrate autonomy, experimental rigor, and initiative in designing and optimizing protocols. Strong written
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administration), the bash language, and computer task schedulers for computing clusters. • Practical knowledge of the Python language and its scientific computing and data analysis libraries. Website
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knowledge in at least of the following techniques : EEG, MRI, TMS • Good programming skills (python, R, matlab). • Knowledge of legal and deontological frameworks • English : B1 to B2 Know-how • Organise
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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such as Python, R or Labview would be an asset. The ability to work in a team and a good command of English are required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5629