337 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in France
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Biologie Physico-Chimique', located in the center of Paris. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8261-MAUGUI-009/Candidater.aspx Requirements Research FieldChemistryEducation
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proejct ERC TimeNanolive. The laboratory has an on-site culture room and various microscopes for single molecule localization microscopy. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214
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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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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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: 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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computer scientist with experience in bioinformatics, solid programming skills and knowledge in 3D protein structures. Machine learning skills and knowledge of Web development are a plus. Good interpersonal
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researcher will be jointly supervised by Christophe Fliedel (CNRS Research Scientist) and Pascal Guillo (Associate Professor, University of Toulouse). Where to apply Website https://emploi.cnrs.fr/Candidat
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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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. Review of applications will begin immediately. Application Materials Required: Further Info: https://www.lapth.cnrs.fr LAPTh, 9 Chemin de Bellevue, BP 110 Annecy-le-Vieux, 74941 Annecy Cedex, France
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 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