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The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 3-year position as postdoc in atmospheric modelling to carry out research on large
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computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three
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, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3 , N2 O, CO2 , CH4 ) using satellite observations, atmospheric chemistry models, and physics-informed deep learning
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Job related to staff position within a Research Infrastructure? No Offer Description Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite
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and their impacts on the ocean and atmosphere dynamics over Mozambique Channel using AOW coupled models. As described below, LEGOS seeks one postdoctoral scholar to work on this project. Where to apply
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magnetic storage. The project focuses on uncovering how magnetization reversal is governed by a time-dependent effective field, Heff(t), which dynamically evolves under non-equilibrium conditions following
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CSAES - Postdoctoral Position in Experimentation and modeling of the interactions of different fertilizer formulations with the water-soil-plant-atmosphere continuum. About UM6P: At the heart of the