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for reasoning over heterogeneous historical and social data (texts, maps, images, archaeological records), combining causal discovery, multimodal modelling, and agent-based simulation to produce open
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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response to climate forcings for different past climates. · Perform and analyze global model simulations. · Collaborate with IPSL Earth System model developers to ensure consistent integration
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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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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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. - Experience with large-eddy simulation (LES), high-performance computing, and numerical modeling of atmospheric flows is highly desirable. For both positions: - Ability to work independently as
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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
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. Were seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modelingintegrating first-principles simulations with machine learningfor chemical and