47 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at National Aeronautics and Space Administration (NASA)
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 30 days ago
at this time, unless they are Legal Permanent 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
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 30 days ago
citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 10 hours ago
atmospheric science, physics, and computer science. Experience in analyzing satellite data and geospatial data are desired. Skills in AI, machine learning, deep learning, keras, Pytorch are preferred. A proven
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 30 days 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 | 30 days 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