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22 Aug 2026 Job Information Organisation/Company CNRS Department Écologie Société Evolution Research Field Biological sciences Environmental science Researcher Profile Recognised Researcher (R2
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, plays a central role in the development and promotion of chemical sciences in both research and education. Its activities are structured around two major transverse research themes (Environment and Health
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scientific research, the CNRS is a reference in the world of research and development, as well as for the general public. The candidate will join the Insitut Néel, and will work with the team: QUantECA
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Paris, September 2026 Position: A post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr
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to massive and temporal data. Data processing tasks, such as localization, classification, and object recognition, will be addressed through the development of novel fundamental methods for semi-supervised and
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remains largely unexplored and represents a fascinating frontier for molecular computing. The development of new methods will be necessary to enable the manipulation of data within complex molecular
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ROUSSYCountryFranceState/ProvinceIle-de-FranceCityVILLEJUIFPostal Code94805StreetRue Camille Desmoulins 39Geofield Contact City VILLEJUIF Website https://www.gustaveroussy.fr/fr/umr-1279 Street Rue Camille Desmoulins 39
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 26 days ago
specialized in the analytical chemistry of volatile organic compounds. Global change is compromising the Ocean and Human Health by favoring the development of Harmful Algal Blooms in many regions worldwide
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of bacterial mutant strains and plasmids. * Construction, manipulation and/or screening of strain libraries, particularly using CRISPRi approaches. * Development and implementation of phenotypic assays to assess
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental