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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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Physics-Informed Data Assimilation in Wall-Bounded Turbulence School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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, “Generative diffusion models for atmospheric data assimilation” (f/m/d) The position is offered for three years with a start date as soon as possible. The salary is according to class EG 13 TV-L. The fixed-term
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Are you interested in shaping the future of global water modelling using AI? The Research Associate in AI-Enabled Hydrological Modelling and Data Assimilation will develop innovative methods
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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for spatiotemporal data (e.g., CNNs, LSTMs, Transformers, or Graph Neural Networks). Hybrid modeling: Experience with physics-informed machine learning or the integration of ML with data assimilation/multivariate
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are seeking a highly motivated candidate to strengthen our enthusiastic research group, Data Assimilation and Optimization, working at the forefront of ensemble-based data assimilation methodology, optimization
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The