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Field
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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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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
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 2 hours ago
(SNPP, JPSS series), NASA or community models related to weather, chemistry, land surface, or wildfires, and the Prithvi Foundation Model. Available NPP opportunities with NASA SPoRT include: Exploration
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on atmospheric aerosols and their impacts on air quality, human health, and climate. Her department combines field campaigns, instrument development, multiscale modeling, and machine learning, providing
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natural event (e.g. wildfires, volcanic eruptions) which can be used as analogues of SRM to provide evidence for informing model improvement without worry about the risks of field experiments. The derived
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 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