-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
engaged in SMAP algorithm heritage and NISAR-era high-resolution soil moisture development at JPL, and participate in multi-mission integration research spanning SMAP, NISAR, and ROSE-L. This opportunity
-
of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
Scaling: Developing data-fusion algorithms that combine VSWIR spectroscopy with active radar/lidar, thermal, and atmospheric retrievals to scale plot- and tower-based flux measurements to pan-tropical
-
aerosol properties from satellite observations using advanced inversion algorithms (such as the GRASP retrieval framework: https://www.grasp-earth.com/ ). Website for additional job details https
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
, studying atmospheric responses to episodic events, comparing ground-based observations with satellite datasets and atmospheric models, and developing new retrieval algorithms. Field of Science: Earth Science
-
Postdoctoral Scholar to support the Center's mission to develop and exploit novel sensing technologies and the algorithms to analyze their signals for monitoring geohazards. Reporting to the Center Director and
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 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
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days ago
concepts, specifically regarding ozone retrieval algorithms and validation methodologies. Proficiency in programming languages commonly used in scientific research, such as Python, R, or MATLAB, for data
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 20 days ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as