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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 22 days 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 | 23 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days 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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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
, computer science or physical or biological sciences with experience in training and evaluation of AI systems. This may include development of robotic systems, training of neural nets for data assimilation
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consortium, and the Agile BioFoundry. https://bioesep.org/ http://bottle.org/ https://agilebiofoundry.org/ This position will work with a dynamic, multi-disciplinary experimental team and analysis will be
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 22 days ago
smoldering. This project will focus on utilizing these fire products in a global atmospheric data assimilation framework. Activities that would be involved in this project include (but are not limited
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the assimilation of paleoclimate data in order to offer the best compromise between different scientific objectives for representing the climate and its variability, particularly in tropical areas. · Contribute
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing
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, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster