440 machine-learning "https:" "https:" "https:" "https:" "EMBL EBI European Bioinformatics Institute" Postdoctoral positions in France
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 9 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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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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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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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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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