385 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs in France
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another startup. The successful candidate will enjoy the benefits of being based at the CNRS site (catering, access to public transport). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7504
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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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production tasks toward a role of regulator, coordinator, or even supervisor of the flexible production machine system. In the first phase, our objective is to capitalize on the information we have gathered
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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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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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, between the sea and the mountains, offering a work environment that is intellectually stimulating and personally enriching. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7370-CLABLI-012
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project managers. Travel is expected as part of the project. Where to apply Website https://utc.recruitee.com/o/ingenieur-de-recherche-fh-projet-foie-bioartificiel… Requirements Research FieldBiological
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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TAGADA started on Oct, 1st 2025 https://www.ceremade.dauphine.fr/dokuwiki/anr-tagada:start . The goal of TAGADA is to lay the foundations of random tensor theory and foster a multidisciplinary research
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and