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6 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 7 Jan 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct...
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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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members, including 36 permanent employees, divided into six research areas specializing in embedded systems and formal methods. The successful candidate will join the FETLAS team and report directly to Mr
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be carried out using two
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targeting the software supply chain. The objectives of this PhD thesis directly address these challenges. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7503-JEAMAR-002/Candidater.aspx
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internationally. The research will be supervised by Aubin Thibault de Chanvalon and Stéphanie Reynaud. This PhD project is part of an ANR-funded program addressing a major scientific and societal challenge: plastic
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Description The PhD will take place at LAMIH (Laboratory of Automation, Mechanics, and Industrial & Human Computer Science), UMR CNRS 8201, affiliated with the CNRS and Université Polytechnique Hauts-de-France
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21 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés Research Field Sociology Juridical sciences Criminology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 11 Oct 2025 - 23:59...
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-year strategic partnership between SAFRAN and ARIANE GROUP with the CORIA laboratory around the YALES2 software platform. The partners wish to strengthen the development of this platform to meet the
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“idealistic” computational methods and available “realistic” pathogen genomic data, and asses how it limits potential health-related insights or even leads to erroneous ones. 2. Bridge this gap from the methods