627 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at CNRS
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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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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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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' (http://www.quanthic.org ) within the Institut of Chemistry for Life and Health Sciences at Chimie ParisTech -PSL (Paris, France). This work is financed under the ANR ElectroHIP project. Where to apply
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https://emploi.cnrs.fr/Candidat/Offre/UMR7315-PAMBAT-006/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR5521-FLOVIE-003/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent
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out within the PICMIC group at IP2I in Lyon, under a pre-maturity grant obtained following a patent awarded to Professor I. Laktineh. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5822
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involved and stakeholders interested in the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8538-PIEBAR-007/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation
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https://emploi.cnrs.fr/Candidat/Offre/UAR3278-NATTOL-034/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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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