635 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at CNRS
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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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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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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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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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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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microscopy and/or ultrafast optics would be an asset. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7504-GUISCH-002/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD
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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