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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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vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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interactions with the working group dedicated to forest dynamics modelling within the MONITOR project, which brings together field ecologists and modelers. The PhD will be supervised by Romain Bertrand (CRBE
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be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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pollution and its impacts. In the OSEAMS project, the postdoctoral researcher will mainly work with zero-dimensional box models, using historical atmospheric observation data to analyze the drivers of ozone
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Dispersion – Inverse Model (EURAD-IM). The PhD project will be conducted in the atmospheric modeling group of the Institute of Climate and Energy Systems (ICE-3) at Forschungszentrum Jülich and the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative