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microscopy experiments on materials and devices. This platform covers energies ranging from 5 keV to 5 meV, thus encompassing a wide range of phenomena, from fundamental level transitions to phonons
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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of main control parameters as well as different patterns and amplitudes of the heat flux on the outer boundary. The candidate will analyze these simulations to establish the dependence of the dynamo regime
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criteria Level I animal experimentation, expertise in animal surgery, skills in pharmacokinetic analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7275-HELMAR-006/Default.aspx
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skills, and proven track-record in at least two of these three areas: fluid mechanics, active matter, and reinforcement learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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/Pytorch/scikitlearn deep learning platforms - Knowledge of biology and medical imaging methods: MRI, MRS - English: high level Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7348
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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