311 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" positions at CNRS
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funding agency. The PhD student will be supervised by Olivier Lafon at the University of Lille (https://uccs.univ-lille.fr/en/research-teams/solid-state-chemistry-department/rm2i-team and https://pro.univ
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5267-DOMCAI-002/Default.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation LevelPhD
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5629-FLOLEG-003/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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central to this research project. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5493-ROBWHI-007/Default.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent
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) and high mass (>100 GeV). More details about the team in https://www.cppm.in2p3.fr/web/en/research/astroparticles/index.html#Dar… The candidate will be involved in all experimental aspects, from
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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media requires the development of approaches targeting intermediate scales of matter, between the nanometer and the micrometer, using both experimental tools for synthesis and characterization, often in
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze