186 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Postdoctoral research jobs at CNRS
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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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. The postdoc position is based at IRPHE Marseille, with several planned visits to Paris and Lyon. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-STELED-006/Candidater.aspx Requirements
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project (PR and IR). Possible benefits: partial coverage of public transport costs by the employer, access to a subsidised company restaurant. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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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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. 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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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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) - bibliographic survey (secondary task) - participating in the management of the laboratory (secondary task) Frame of the contract : the LHFA (https://www.lhfa.cnrs.fr/ ) is an Unité Mixte CNRS-Université de
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. Review of applications will begin immediately. Application Materials Required: Further Info: https://www.lapth.cnrs.fr LAPTh, 9 Chemin de Bellevue, BP 110 Annecy-le-Vieux, 74941 Annecy Cedex, France
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. This convergence is particularly visible in Saclay's area where a large community of computer scientists is structured around the PIC code Smilei, and where several ultra-high intensity laser facilities
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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