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to enable convergence between the IPSL Earth System model and observations (natural and instrumental archives). · Evaluate the mechanisms of internal ocean-atmosphere coupled dynamics and feedbacks in
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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extensively studied in dynamic compression, with widely varying compression rates. A large body of literature exists, but there is disagreement on the transition ranges, the nature of some of these transitions
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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an publication of scientific articles • Disseminate the results at national and international conferences The position is based at the Jacques Monod Institute (IJM), located in the heart of Paris, in a dynamic
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in the Lyon metropolitan area is expected. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5023-NADBRO-010/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD
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well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
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), this postdoctoral project is part of WallMat (https://www.pepr-bioproductions.fr/projets-finances/caracterisation-de-… ). This initiative brings together several research laboratories to valorize by-products from
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systems. Laboratory simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation alteration processes. Where to apply Website https
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling