115 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2026-EM How to Apply Click on Apply below to start your application. Application Deadline 3/31/2026 8:00:00 AM Eastern Time
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Scholar Salary range: A reasonable salary range estimate for this position is $66,737 - $80,034 based on level experience. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial
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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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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 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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Washington State University encourages all qualified candidates to apply, including members of the military and veterans, and persons with disabilities. WSU employs only U.S. citizens and lawfully authorized
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 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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Science, Computational Biology, Bioinformatics, or a closely related field. Experience with computational modeling, statistical programming (Python, R, MATLAB), or machine learning. Experience working with large datasets