221 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at CNRS in France
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, and Adrian Vladu. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-MELGOD-010/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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15 Jan 2026 Job Information Organisation/Company CNRS Department Institut Langevin Research Field Engineering Physics Technology Researcher Profile Recognised Researcher (R2) Application Deadline 4
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19 Jan 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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10 Jan 2026 Job Information Organisation/Company CNRS Department Reproduction et développement des plantes Research Field Biological sciences » Botany Biological sciences Technology » Biotechnology
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, experimentation and modelling. The research aeras are structured through 4 main unifying themes: Interiors of the Earth and Planets, Natural Hazards, Earth System and Origins. The IPGP is in charge of labelled
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polymerization and electropolymerization. The structures will be confirmed, for example, by 1H and 13C NMR titration, FTIR, mass spectrometry, UV-vis and fluorescence spectroscopy, electrochemistry, size exclusion
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, between the sea and the mountains, offering a work environment that is intellectually stimulating and personally enriching. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7370-CLABLI-012
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and associated with biological processes such as the circadian rhythm. The aim of the project is to understand at a molecular level the impact of these modifications on the structure and dynamics
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surface-chemistry trends across selected metals and their oxides. These data will support the construction of a machine-learning force field tailored to NHC–surface systems, enabling large-scale molecular