333 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions in France
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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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will work in close collaboration with Guy Theraulaz, Clément Sire, and their partners in Marseille. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5152-MALBEN-011/Candidater.aspx
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the project. The position will involve travel for work-related assignments. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5267-FABHIR-005/Candidater.aspx Requirements Research
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. The successful candidate will join these two projects to help optimise them using the instrument simulations obtained. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8617-VIRKAT-009
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office hours. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3278-NATTOL-035/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic
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. Moradinezhad. About LAPTh (https://lapth.cnrs.fr ): LAPTh is a mixed research unit (UMR) of CNRS and Université Savoie Mont Blanc (USMB). Its scientific activities span cosmology and astroparticles, particle
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– Roberval laboratory. This project will be carried out in close collaboration between two university partners (Compiègne University of Technology, https://www.utc.fr and École Centrale de Nantes, https
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according to experience. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/IRL3218-GUICAR-009/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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-9666 (2018). Matsumura, Shigeyoshi, et al. "Transient compartmentalization of RNA replicators prevents extinction due to parasites." Science 354, 1293-1296 (2016). Where to apply Website https
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a