6 machine-learning "https:" "https:" "https:" Postdoctoral research jobs at National Aeronautics and Space Administration (NASA) in United States
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
); and propagation of physics-traceable soil moisture uncertainty into precipitation estimates. Machine learning approaches are welcome as tools within this framework — for example, learning the space–time
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 23 hours ago
. Examples include: determination of high-resolution shape models using shape-from-shading or novel machine-learning methods; studies of high-resolution shape models for geophysical and geological studies
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days 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