226 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" research jobs at CNRS
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, and Adrian Vladu. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-MELGOD-010/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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supervision of Dr. Bajenoff (http://www.ciml.univ-mrs.fr/fr/science/lab-marc-bajenoff/immunobiologie… ). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7280-MARBAJ-024/Candidater.aspx
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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on this topic IMN is a joint research unit of 200 people. The recruited researcher (male/female) will join the PMN (Physics of Materials and Nanostructures) team. Where to apply Website https://emploi.cnrs.fr
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) - bibliographic survey (secondary task) - participating in the management of the laboratory (secondary task) Frame of the contract : the LHFA (https://www.lhfa.cnrs.fr/ ) is an Unité Mixte CNRS-Université de
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7258-STECOU-010/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears
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. The project is carried out in a collaborative research environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9025-DANCOM-005/Candidater.aspx Requirements Research FieldPhysicsEducation
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring