47 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral research jobs at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 35 minutes ago
and related activities. Strong programming skills are a must, including experience with machine learning. Good written and oral communication skills in English are important. Point of Contact Mikeala
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. Description: The Interdisciplinary Consortia for Astrobiology Research (ICAR) project on Advancing Multi-Messenger Biosignature Techniques using Machine Learning seeks suitable applicants to work on any of a
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 36 minutes ago
should have a strong background in data science, machine learning, remote sensing, wildfire science, or a related field. Experience with deep learning frameworks, satellite observations (e.g., Sentinel
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 41 minutes ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 43 minutes ago
profiling (BGC-Argo) floats (https://www.nature.com/articles/s41586-021-03805-8). The NASA Ocean Biogeochemical Model (NOBM) has recently been coupled to the Subseasonal to Seasonal Prediction Version 3 (S2S
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 35 minutes 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) | Greenbelt, Maryland | United States | about 2 months 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
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 34 minutes ago
and machine learning, and for the public to see the worlds of the outer solar as they would appear to our eyes for the first time. The envisaged project includes: image selection, cleaning and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 44 minutes ago
Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent