879 machine-learning "https:" "https:" "https:" "https:" "https:" research jobs in United States
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 14 hours 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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standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May
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Website: https://engineering.uark.edu/ Summary of Job Duties: The Postdoctoral Fellow - Biomedical Engineering will continue investigation of cancer nerve crosstalk in both breast cancer and pancreatic
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Previous Job Job Title Machine Learning Researcher Next Job Apply for Job Job ID 371407 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary Temporary Job
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to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks simultaneously. Excellent organizational skills and demonstrated ability
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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is