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atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https://science.gsfc.nasa.gov/earth/mesoscale for more information about the
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limited to): Implement machine learning transfer learning methods to homogenize AOD observations from the geostationary constellation of weather and atmospheric monitoring satellites (e.g. GEOS
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experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time-series. Experience exploring machine learning and deep learning
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