376 structural-engineering "https:" "https:" "https:" "https:" "https:" "Brunel University London" positions at CNRS in France
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metabolic vulnerabilities in MB and thus, may pave the way to the development of promising therapeutic avenues in the worst outcome MB subgroup. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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equipment of the Institut Curie research team. Study of the mechanisms for suppressing proliferation in polyploid cells Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR144-EDWNOR-005
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will participate in the construction and
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24 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique et d'Etude des Matériaux Research Field Engineering Physics Technology Researcher Profile Recognised
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15 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire Lasers, Plasmas et Procédés Photoniques Research Field Engineering Chemistry Physics Researcher Profile Recognised
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» Biological engineering Researcher Profile First Stage Researcher (R1) Application Deadline 3 Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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scientific imaging, as well as access to hyperspectral imaging equipment and to heritage collections studied within the laboratory's activities. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UAR3224
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29 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire Lorrain de Chimie Moléculaire Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2
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techniques available at the IRCELYON and IFPEN laboratories. - Catalyst synthesis - Characterization of surface structure and reactivity, acid-base properties - Catalytic tests on model reactions - Kinetic
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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