222 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "University of St" research jobs at CNRS
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recherche interprofessionnel en aérothermochimieCountryFranceCityST ETIENNE DU ROUVRAYGeofield Contact City ST ETIENNE DU ROUVRAY Website http://www.coria.fr STATUS: EXPIRED X (formerly Twitter) Facebook
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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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
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to communicate effectively and work in a team. • Enthusiasm for studying virus evolution. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR9022-BENSTE-057/Default.aspx Work Location(s
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/InstituteInstitut de planétologie et d'astrophysique de GrenobleCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://ipag.osug.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook
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rely on the development of models integrating different data sources, initially based on data simulations, consistent with the data sets that are actually available or planned for acquisition, as
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic