49 data "https:" "https:" "https:" "https:" "Robert Gordon University" Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
, identify physically consistent constraints, and recommend data assimilation configurations tailored to specific scientific objectives. All AI modules will be designed within a physics-constrained framework
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month 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 2 hours ago
process models often lack the spatially explicit, high-frequency data needed to accurately simulate these rapidly changing dynamics and their cascading effects on vegetation health, carbon cycling, and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month 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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
. Description: NASA Ames Research Center is looking for a postdoctoral assistant with research interests in low-cost sensors and/or data fusion to join our Trace Gas measurement group. This will involve working
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
marine planktonic ecosystems. For example, the 2019-2020 Australian wildfires triggered widespread phytoplankton blooms, evidenced in chlorophyll data obtained from satellite remote sensing and in situ
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 hours ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
distribution information, but did not comprehensively de-bias the results. This work will build from the prior studies, based on the full surveyed populations of those missions, more comprehensive knowledge of
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
carbon-cycle modeling. The project will build a unified modeling framework that uses GEDI LiDAR and Landsat/HLS data to train deep learning models capable of predicting forest structure variables such as
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform