221 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" research jobs at CNRS in France
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Institute for Applied Geophysics). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5243-HELOUR-075/Candidater.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent
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days' annual leave, including RTT, for full-time work Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-ALEGAS-062/Candidater.aspx Requirements Research FieldMathematicsEducation
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public transport + private parking. • Financial contribution towards health insurance costs. The study is part of the national PEPR program "Decarbonization of industry" Where to apply Website https
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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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, 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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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9198-TANTIB-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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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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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process