477 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at CNRS
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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campus with meal subsidies from the CNRS. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7515-JULBER-106/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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site. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7648-EDOBOU-049/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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https://emploi.cnrs.fr/Candidat/Offre/UMR3215-YOHBEL-023/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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the competent authority of the MESR Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6072-SOPRAS-011/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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Field Laboratory (EMFL), the LNCMI actively contributes to scientific progress at the European level. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-CATKNO-050/Candidater.aspx
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Redox Monolayer. Phys. Rev. Lett. 130, 218001 (2023). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001-SIMGRA-002/Candidater.aspx Requirements Research FieldEngineeringEducation