392 structures-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at CNRS
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laboratories such as the ENS Physics Laboratory in Paris or the Albert Fert Laboratory in Palaiseau for THz emission measurements. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8191-MATJAM-002
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) and the resulting THz performance. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-KONPAP-003/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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the regulations, that the arrival of the agent be authorized by the competent authority of MESR. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5026-FREBON0-276/Default.aspx Requirements Research
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6457-SOPDEP-065/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
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the distribution and degree of mantle serpentinization, as well as its structural controls in the North Pyrenean zone. Numerical modeling of mantle-derived H₂ production within the North Pyrenean orogenic prism will
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to innovation for patient care. Jean-Léon Maître, head of the “Mammalian Developmental Mechanics” team (https://institut-curie.org/team/maitre ), is seeking a postdoctoral researcher with a strong interest in
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources