178 evolution "https:" "https:" "https:" "https:" "U.S" "St" "St" Postdoctoral research jobs at CNRS
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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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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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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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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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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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, 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
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling