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modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model
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transplantation. While CKD-associated VC is extensively studied in adults, the underlying mechanisms remain poorly understood in children. Pediatric CKD nonetheless provides a unique model to study VC: the
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postdoctoral researcher will be involved in the European project CARIOQA PMP, aiming to develop an engineering model of a spatial atomic accelerometer. The experimental activities under the
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. The central idea of this PhD is that a model trained on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions
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linked to AMD and the complement system. They will convert these maps into executable Boolean models using the 'map-to-model' framework developed at the CNRS/UPS and INRIA, and then adapt the models to the
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: • Develop and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO
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biomass. The postdoctoral researcher at CERMAV will: • Characterize the topochemistry of the action of these enzyme mimics on model compounds and under real-world conditions. • Develop new functional
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-fuels. It will involve studying the behavior of methanol synthesis catalysts under varying reaction conditions, proposing an associated kinetic model, and implementing the reaction kinetics into a
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improve the WRF-Chem model of aerosol-cloud interactions in the Arctic region. The goal will be to analyze their impact on the Arctic climate, thereby reducing uncertainties in climate projections
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in the various subduction zones - Use of this catalog in conjunction with the seismotectonic model by Foix et al. to assess the seismic hazard induced by this seismicity and define its characteristics