389 evolution "https:" "https:" "https:" "https:" "https:" "EFSA European Food Safety Authority" positions at CNRS in France
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at interfaces and in the bulk. The work will involve operando electrical and optical characterizations, spatially resolved analyses of performance and degradation mechanisms, and the development or adaptation
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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, and geochemical data from multiple work packages; • Development of data transformation workflows and interoperability tools to ensure consistency across diverse datasets (fire experiments, biodiversity
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, and Adrian Vladu. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-MELGOD-010/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7258-STECOU-010/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic