384 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at CNRS
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; https://cordis.europa.eu/project/id/101087562 ), the postdoctoral researcher will be responsible for characterizing metal-rich meteorites, particularly primitive achondrites, using scanning electron
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: The ideal candidate should have: * Knowledge of machine learning, especially neural networks or graph neural network or federated learning. * Strong mathematical and algorithmic background (optimization
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not only in Montpellier but also nationally and internationally. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5253-VINLAD-007/Default.aspx Requirements Research FieldChemistryEducation
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artificial intelligence. shared office and access to laboratory resources Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7243-JERLAN-013/Default.aspx Requirements Research FieldComputer
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time scales. To do this, we will build on a landscape picture of stochastic gene expression dynamics inferred from data using modern machine learning techniques. The results will inform us about how
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, algebra and geometry of IRMAR and ENS Rennes. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6625-EUGPOZ-002/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
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to Inner-Heliospheric Switchbacks” *(JET2SB, https://anr.fr/Project-ANR-25-CE31-7416 ) project of the French “Agence Nationale pour la Recherche” (ANR) is open for applications to work with the space plasmas
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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the ANR SOMEDHY project. For more information, see: https://scanr.enseignementsup-recherche.gouv.fr/projects/ANR-25-CE50-55… -Synthesis of molecular complexes with various metal elements (tantalum, iridium
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resources of CESAM, including its Machine Learning and Deep Learning hub, • close collaborations with ONERA. The successful candidate will work in a multidisciplinary environment bringing together researchers