246 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at CNRS in France
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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to apply Website https://emploi.cnrs.fr/Candidat/Offre/IRL2010-CEDBUC-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Research FieldComputer
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students working in the fields of industrial economics and innovation, energy economics, and environmental economics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9217-NADLEV-001/Default.aspx
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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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and erosion for 60 years. One of the main objectives is to acquire fundamental knowledge about the processes controlling environmental risks related to the dynamics of metal contaminants (speciation
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9198-TANTIB-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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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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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring
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public transport + private parking. • Financial contribution towards health insurance costs. The study is part of the national PEPR program "Decarbonization of industry" Where to apply Website https
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to conduct his own research projects if the scientific scope is compatible with the ERC ATTRACTE (modulo machine time). This position is funded by the ERC Starting Grant ATTRACTE project (2023-2028, PI: G