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mechanics, -Applied Mathematics. Additional comments Le Doctorant sera basé à l'Institut Pprime dans l'établissement de l'Isae-ENSMA à Chasseneuil du Poitou (www.pprime.fr ). Website for additional job
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26 Sep 2025 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique, Signal et Automatique de Lille Research Field Engineering Computer science Mathematics
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- UGA. It is a highly interdisciplinary laboratory (solid/fluid mechanics, statistical physics, optics, applied mathematics, biology) mande up of nine groups. You will be part of the group MC2 (Cell
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with a solid theoretical understanding of reinforcement learning, accompanied by a strong foundation in mathematics. You must also have proven experience in programming reinforcement learning agents
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6 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Sciences du Numérique Research Field Engineering Computer science Mathematics Researcher Profile
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3 Oct 2025 Job Information Organisation/Company CNRS Department Joint Robotics Laboratory Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
17 Sep 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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23 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Mathématiques et Applications Research Field Biological sciences Computer science Mathematics Researcher Profile
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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification
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for these formalisms. Some possibilities are to develop solutions based on dynamic programming over finite horizon, or using mathematical solvers, or adapting reinforcement learning algorithms to the desired context