187 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in United States
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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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Code MICROBIOLOGY (06220A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Supports research projects in the Wolfe lab (https://ssom.luc.edu/luerec/) by performing lab assays and
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. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0120 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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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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to learn about combined arms operations Visit to the West Bank to learn about the Palestinian situation and point of view, and Meeting with officers and soldiers involved with Israel's equivalent of the U.S
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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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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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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation