481 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at CNRS
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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
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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
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strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
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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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) - 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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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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Poitiers (IC2MP) https://ic2mp.labo.univ-poitiers.fr/ . He/she will work in the Programmed Molecular Systems group, which studies molecular systems designed to understand, manipulate, and mimic biological
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University, but there will be a close collaboration with the group of Léa-Laetitia Pontani (LJP). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7332-CATLEV-053/Candidater.aspx Requirements
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. The postdoc position is based at IRPHE Marseille, with several planned visits to Paris and Lyon. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7342-STELED-006/Candidater.aspx Requirements
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involve working in Paris as well as Orléans. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7065-NADSCH-003/Candidater.aspx Requirements Research FieldHistoryEducation LevelPhD