438 machine-learning-"https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in France
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solid experience in programming, particularly in Python and JavaScript. Significant experience in data science and machine learning will be highly valued. You like to work in a team while demonstrating
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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
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 11 days ago
project and in particular on consolidating the logical foundations of mathematical proof assistants (http://malinca.org ). It will be located at the IRIF lab in Paris. Travel expenses are covered within
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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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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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experimental, analytical, and computational platforms to support the project. https://www.get.omp.eu/ The work carried out during this post-doctoral contract will be integrated into the ERC StG LEAPHY project
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collaboration with the consortium's partners, including the teams of Dr. Lucie Brisson (Bordeaux), Dr. Justine Bertrand-Michel (Toulouse), and Dr. Marie Beurton-Aimar (Bordeaux). Where to apply Website https
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in model-based reinforcement learning to join the Computer Science and Networks (INFRES