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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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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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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 15 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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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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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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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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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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Machine Learning; Expertise in Expert Systems; Good command of French (spoken and written) and English (spoken and written). Skills: Proficiency in object-oriented programming (Python, Java, JavaScript
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related field, with a strong focus on optimization. Technical Skills Proficiency in programming, preferably in Python or a similar language commonly used in optimization. Familiarity with mathematical