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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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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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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 23 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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visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good
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mathematics, computational physics, or computer science Strong programming skills (e.g., Python, PyTorch, TensorFlow) Experience in one or more of the following areas: Generative AI models (transformers
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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
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knowledge of psychology, particularly in the field of cognitive aging. - Proficiency in R or Python - Proficiency in longitudinal data analysis would be considered a plus. - Strong verbal and written