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développement. Une expérience avec Python, Fortran, C ou C++ et MPI ou OpenMP sera appréciée
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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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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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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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-)fluidics Implementation of microscopy techniques (including confocal) and microrheology Structural and mechanical characterization of the gels Data analysis (using Python or equivalent tools) Literature
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, training, evaluation) Proficiency in C/C++ and/or Python for systems and AI development Ability to design and run experimental evaluations on real systems Excellent scientific writing and communication
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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must have skills in sequence data analysis using bioinformatics (e.g., using Python, R or any suited programing language). These skills must be attested by the contribution to at least one publication in
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processing hydrometeorological data - Experience programming and developing computer codes (Fortran 90, C++, Python, and R) - Interpersonal skills, enjoyment of teamwork, strong motivation, organization, and