388 evolution "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in France
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- CNRS
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- University of Tours
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- École nationale des ponts et chaussées
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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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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through systematic experimental campaigns Job description & project sheet for more information Where to apply Website https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-en-cybersecurit
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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, materials science, and advanced nanofabrication. This project focuses on the development of functional optical metasurfaces with engineered responses tailored for selective optical camouflage. The targeted
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at interfaces and in the bulk. The work will involve operando electrical and optical characterizations, spatially resolved analyses of performance and degradation mechanisms, and the development or adaptation
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collagen secretion in scarring and fibrotic diseases. The postdoctoral researcher will: • Contribute to the design and conceptual development of the project • Design and perform experiments addressing
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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their research in one eligible host laboratory at Nantes University : ITX-lab: https://umr1087.univ-nantes.fr CR2TI: https://cr2ti.univ-nantes.fr CRCI2NA: https://crci2na.univ-nantes.fr RMeS: https://rmes.univ
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic