80 structural-engineering "https:" "https:" "https:" "https:" "ICube laboratory CNRS" PhD positions at CNRS
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cells at the right time. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR9002-WILRIT-003/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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filled. Shortlisted candidates will be invited to a remote interview in May 2026. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc
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19 Mar 2026 Job Information Organisation/Company CNRS Department Institut de Combustion, Aérothermique, Réactivité et Environnement Research Field Engineering Chemistry Physics Researcher Profile
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earthquake in 2023, Ml > 5). These events, often associated with the reactivation of inherited faults, leave traces in geological and archaeological structures that are sometimes difficult to identify and date
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, engineers) and 100 contractual staff (PhD students, postdoctoral researchers, engineers, and technicians). The institute also hosts dozens of interns and visiting scientists each year. IGE is spread across
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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necessary to robustly extract the various constituent elements of the comic book (detection of panels and speech bubbles, text recognition, segmentation, and character identification), and then to structure
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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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. 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