316 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at CNRS
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collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring
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strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
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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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motor brain-machine interfaces based on the readout of activity in the primary motor cortex (Arduin et al. 2013, Abbasi et al. 2018), and we have trained mice to control a custom-made mouse forelimb
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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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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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to field sites made possible by a multi-year project supported by the IPEV. The results are likely to have fundamental and applied implications and a strong impact. 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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University, but there will be a close collaboration with the group of Léa-Laetitia Pontani (LJP). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7332-CATLEV-053/Candidater.aspx Requirements