15 machine-learning Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
of radiance data from new hyperspectral infrared instruments such as IASI-NG, MTG-IRS Enhancement of CrIS radiance assimilation algorithm are highly encouraged. - Use machine learning methods to cope with model
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | about 1 month ago
to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
analysis software packages. Demonstrated success in collaborative environments. Experience with one or several of the following: machine learning, data assimilation, ArcGIS, NASA satellite datasets. Point