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project is one of two within PAST. As a PhD candidate your goal is to conduct new climate model simulations of the Last Interglacial, with a state-of-the-art climate model (CESM). From these results, you
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that combine classical phenomenological constitutive models with neural-based components. Training data will initially rely on synthetic datasets generated from high-fidelity microstructural simulations
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computationally expensive, but more faithfully simulate the application of high energy density laser sources to multi-component metallic substrates. Such a high-fidelity modelling framework, that captures
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The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites candidates for a postdoctoral position in modeling and simulation
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molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research
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dynamics processes into the IPSL Earth System model. · Participate in the scientific exploitation of simulations performed with ORCHIDEE v4. · Collaborate with ARCHIVES project partners to ensure coordinated
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Duties and Responsibilities • Plan and conduct simulation and modelling activities aligned with project milestones under the guidance of the line manager • Develop and refine a digital twin framework
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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, scanner operation, …). Expertise on simulation tools (e.g. COMSOL) is also expected. Excellent spoken and written English is mandatory. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's