235 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at CNRS
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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Grandville - ENSIC). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-YANLEB-007/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR5069-SAMLAK-012/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based
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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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Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional
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. "Matroid prophet inequalities." Proceedings of the forty-fourth annual ACM symposium on Theory of computing. 2012 Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-VIAPER-003
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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polymer solution probed by resonant thermal capillary fluctuation",Phys. Fluids 35, 121706 (2023). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5798-ABDMAA-002/Candidater.aspx