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are seeking a candidate holding a Master 2 degree in computational biophysics, structural bioinformatics, or a related field. Knowledge of statistical mechanics and/or machine learning would be an asset
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) designs and/or studies materials with novel properties. This requires expertise in material synthesis, advanced characterization, physical property studies, as well as modeling and theoretical description
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testing skills in both analog and digital domains • Experience in machine learning, neuromorphic computing, or embedded AI (asset) • Knowledge of biotechnology or neuroscience (asset) • Excellent
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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. Practical experience in electron microscopy and advanced materials characterization is considered a major asset. Furthermore, a strong proficiency in English (minimum CEFR level B2/C1) is required to navigate
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development have been set-up to respond to these societal issues. Scientific supervisor: Thomas Berthelon - MOST team ([email protected] ) Where to apply Website https://emploi.cnrs.fr
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, or OpenFOAM would be an asset but is not mandatory. The successful candidate will benefit from a multidisciplinary research environment and collaborate with partners possessing expertise in catalysis, reaction
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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analysis (elemental, molecular and isotopic). The PhD student will be enrolled in the Doctoral School 'Sciences Exactes et leurs Applications' of UPPA (https://ed-sea.univ-pau.fr/fr/index.html ). Nickel is