271 machine-learning-"https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at CNRS in France
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for integrated photonics perspectives. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-MATJEA-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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for the rapid and effective treatment of severe traumatic wounds, particularly in civil or military emergency situations. This new system aims to combine strong adhesion in wet environments, on-demand UV
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, MultiFab, TRI-Genotoul). The project is embedded in a dynamic regional and national collaborative ecosystem focused on organ-on-chip technologies and personalized medicine. Where to apply Website https
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research focuses on fundamental questions in automata theory on the one hand, and on algorithmic questions arising from concrete problems on the other. Where to apply Website https://emploi.cnrs.fr/Candidat
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(UCBL/CNRS/CNES/ArianeGroup). The laboratory has internationally recognized expertise (NASA, U.S. Defense Energy Center Support / DESC, etc.) in the fundamental chemistry of N-N interactions, including
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Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
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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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atmosphere. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7241-VIOLLA-004/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR8628-MATMOR-005/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify