254 evolution "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" "IFM" "IFM" "IFM" research jobs at CNRS
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((TERAhertz high-sensitivity thermoelectric detector for SENSing and imaging) contract. Absorbing metasurface is a key device of the thermoelectric detector. Where to apply Website https://emploi.cnrs.fr/Offres
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applied to the study of sites, particularly rock schematic rock art sites of southern France. The contract will be carried out in the ANR SCHEMA project (https://schema.hypotheses.org/a-propos ). ANR SCHEMA
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The team 'Evolution
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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in physics analysis and detector development has also been directed to physics studies for the FCC-ee project and FCC detector R&D, especially in the development of the future ALLEGRO liquefied noble
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
). The Laboratory of Economics and Sociology of Work (LEST, http://www.lest.cnrs.fr ) is a joint unit of the CNRS and Aix-Marseille University, specialising in the analysis of work and its various spheres as a
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the postdoctoral researcher will use this apparatus with the support of the laboratory's technical staff. The project is funded by the ANR and EUR NanoX. Where to apply Website https://emploi.cnrs.fr
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center. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7643-FOUMAR-001/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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years, the laboratory's research spans a broad range of topics in ultrafast science, including the development of ultra-intense femtosecond laser systems, the physics of laser filamentation in air, and
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained