383 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" research jobs in France
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MSCA Postdoctoral Fellowships @Sorbonne Université and its Alliance partners - Call for Applications
integrity, recruitment, working conditions, and training. How to apply 1. Select a Supervisor in a given Host Institution from the list of Panels advertised on Sorbonne Université's website: https
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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
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university cafeteria. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7006-JOHSCH-009/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
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: EDPs2 (Partial Differential Equations: Deterministic and Probabilistic Studies), Geometry, and LIMD (Computer Logic and Discrete Mathematics). This diversity of research topics within a single laboratory
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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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Poitiers (IC2MP) https://ic2mp.labo.univ-poitiers.fr/ . He/she will work in the Programmed Molecular Systems group, which studies molecular systems designed to understand, manipulate, and mimic biological
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computer tools / IT skills Specific Requirements Contribute to the team's shared tasks Manage mouse model colonies within the center’s animal facility Develop functional assays both in vivo and in vitro
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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