228 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" research jobs at CNRS in France
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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to the development of rapid, non-destructive characterization techniques for assessing the residual quality of electronic components and subsystems at the end of their life cycle, using cutting-edge technological
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to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5001-ELSGEN-046/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental
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. The research carried out at IC2MP is part of a comprehensive eco-design approach (see: https://ic2mp.labo.univ-poitiers.fr/ ) that includes the design and development of active materials for energy conversion
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SouchesCountryFranceCityPARIS 15Geofield Contact City PARIS 15 Website https://research.pasteur.fr/en/team/genetic-molecular-and-cellular-bases-of-development/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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R&T. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3407-FABBEN-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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((TERAhertz high-sensitivity thermoelectric detector for SENSing and imaging) contract. Absorbing metasurface is a key device of the thermoelectric detector. Where to apply Website https://emploi.cnrs.fr/Offres
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained