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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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, or other eligible discipline. Degree must have been received within five years of the appointment start date. U.S. military veterans who have been honorably discharged (or who have been medically
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, Computer Science, Software Engineering or other eligible discipline. U.S. military veterans who have been honorably discharged (or who have been medically discharged because of a service-connected
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Organization U.S. Department of Defense (DOD) Reference Code USAISR-2026-0005 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The U.S. Army
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-changing technologies. Life-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking a Postdoctoral
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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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/Administrative Internal Number: 7036920 Research Assistant Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/121
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position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems
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at the interface of biostatistics, machine learning, and biomedical data science. This mentored postdoctoral position is designed to support the development of an independent research trajectory in methodological
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 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