646 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" positions at CNRS
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at least two of the following areas: Machine learning and associated mathematical foundations Embedded systems Analog/mixed design [1] https://emergences.pepr-ia.fr [2] https://www.frontiersin.org/articles
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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
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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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FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria - Thesis in natural language processing with machine learning, - mastery of NLP and machine learning methods and tools
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-temperature-superconducting (HTS) magnets for the machine–detector interface of the FCC project, within the “Accelerator R&,D” group at LAPP." Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php
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Physics, Cosmology and associated technological developments and applications. Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php?langue=uk Requirements Research
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5 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
applications). Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php?langue=uk Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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the hierarchical authority of Laurence Talini. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR125-LAUTAL-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling