192 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-ARPA-E How to Apply Click on Apply below to start your application. Application Deadline 2/13/2026 8:00:00 AM Eastern
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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
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: U.S. Citizens; U.S. Lawful
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours 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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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2026-0021A How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours 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 | about 5 hours 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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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 11 hours ago
development (e.g. Machine learning, mathematical/statistical modeling, and AI) and/or analysis of high-throughput sequencing data is preferred · Working knowledge of molecular biology and sequencing
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 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
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 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