193 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University College Dublin" Postdoctoral research jobs at CNRS in France
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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to the development of rapid, non-destructive characterization techniques for assessing the residual quality of electronic components and subsystems at the end of their life cycle, using cutting-edge technological
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and production of software tools for in silico screening of chemical libraries and rational drug design of molecules for therapeutic purposes. - Contribute to the development of a high-throughput
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. The research carried out at IC2MP is part of a comprehensive eco-design approach (see: https://ic2mp.labo.univ-poitiers.fr/ ) that includes the design and development of active materials for energy conversion
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R&T. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3407-FABBEN-004/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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SouchesCountryFranceCityPARIS 15Geofield Contact City PARIS 15 Website https://research.pasteur.fr/en/team/genetic-molecular-and-cellular-bases-of-development/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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the Condorcet Building of Université Paris Cité, with possible visits in the CERM Laboratory of the University of Liège and BVI (Belgium). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7162
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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze