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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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systems biology Proficient in either Python or R and good knowledge of data science environments Familiarity with Unix environments Strong working knowledge of training, including experience as an
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to work in a world-class university research group? Do you like signal processing, mathematics, physics and electronics? Do you enjoy programming (MatLab, Python), architectural design and experimentation
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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
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languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Experience with detector hardware and knowledge in silicon-based detectors - Expertise in C++ and python programming - Strong
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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, Poisson regression, Cox models), Experience in the statistical analysis of data from observational studies, Proficiency in SAS, R, or Python. Required Skills : Ability to appropriately interpret the results