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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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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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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
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 9 days ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras
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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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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow