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logique. Une série d'outils Python interactifs est utilisée à travers une interface de programmation visuelle pour traiter et convertir ces données d'entrée en fichiers XML compatibles avec le
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) qui déterminent le transport des particules. Il s’agira de prendre en main le code, son parallélisme et ses nombreux outils de post-traitement (Paraview et Python) pour reproduire des résultats
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experience in designing and conducting experiments with human participants, as well as acquiring and analysing MEG and/or EEG data, is essential. • Excellent command of Python for scientific computing and
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Modeling and Simulation: Utilizing an in-house simulation code (Python/GPU) based on the Discrete Element Method (DEM). Contributing to model development: integrating new physical building blocks
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization of
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
simulation, algorithmics, imaging, and Python programming. It is based on a bibliographic study and on the experimental handling of characterization tools. The job takes place at the Institut National
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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, particularly in the use of one or more compiled languages. A good knowledge of Python and/or R for processing and analysing model outputs is also required. The candidate must also demonstrate a strong
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instruments. Treat and interpret the acquired data, mainly using commercial software, but eventually using Python if required. Produce analysis reports that may be presented orally at technical review
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synthétiser et à transmettre des résultats scientifiques Connaissances : Python, gestion de bases de données, bonne culture de l'énergie. Moyens/Méthodes/Logiciels : Python, Optimisation MILP