307 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs in France
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Field
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R&T. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3407-FABBEN-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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This research will be conducted at CNRS within the Institut de Chimie des Milieux et Matériaux de Poitiers (IC2MP), located at the University of Poitiers, France (https://ic2mp.labo.univ-poitiers.fr/ ). IC2MP is
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according to experience. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/IRL3218-GUICAR-009/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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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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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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: 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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will be in contact with other researchers in high-energy theoretical physics and string theory at LPTHE and in the Paris region who are working on related topics. Where to apply Website https
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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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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze