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validating Hydrodynamic models to study performance of integrated floating breakwater and marine renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance
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research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km
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model for the reactivity/selectivity in superacid conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7285-FREGUE-005/Default.aspx Requirements Research FieldChemistryEducation
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
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to chromosome structure in cell nuclei and biochemical reconstitutions. This involves developing supervised and self-supervised AI models based on simulated as well as annotated experimental cryoET data, informed
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical analysis and simulation for the complex
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therefore need to be accounted for [2]. These fields are typically simulated with Magnetohydrodynamic Modelling (MHD); however, these simulations require significant computation time (e.g. supercomputers) and
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and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse
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of wood formation (CEMACam project). - main mission: The candidate will be tasked with continuing the development of a wood formation simulation model initiated during the project. This 'vertex' model