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process-friendly solution for their removal of the fuel cycle This project is a collaboration between ICCF and ORANO Scientific and broader knowledge which will be developed: • Knowledge of the front-end
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
candidate must demonstrate proven skills in digital development (C++, Fortran, Matlab, Python, or equivalent) and be proficient in the Linux environment. Additional knowledge in numerical analysis, continuous
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19 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire des Composites ThermoStructuraux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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Required knowledge: - Degree: PhD, Engineering - Continental biogeochemistry - Environment and professional networks - Organization and functioning of higher education and public research - Language: English
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The successful candidate will be required to provide expert knowledge on computational astronomy applied to radio-interferometry, operating across several of the work packages of the ODISSEE project ((Online Data
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and an ALS expert Before applying make sure to check the last version of this document online: https://sdrive.cnrs.fr/s/Lcp3L3Xb2ZQ2xpm Website for additional job details https://emploi.cnrs.fr/Offres
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proficient in English (the working language of the team is English) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5077-FABERD-009/Default.aspx Work Location(s) Number of offers
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15 Jan 2026 Job Information Organisation/Company CNRS Department Institut Lavoisier de Versailles Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2