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Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
manufacturing capabilities, such as plastic and metal 3D printers, and high-performance computing environments. Field of Science: Engineering Advisors: Ryan Watkins ryan.t.watkins@jpl.nasa.gov 626-658-1596
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approximately 600 undergraduate and 90 graduate majors, as well as offering a number of general education classes in the discipline. The primary research foci of the tenure track faculty are high-performance
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
foundation models or one of the NASA Earth Science focus areas, and be familiar with the other. The ideal candidate will also have experience with high performance computing, including NASA's High End
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req22541 Apply Now Share Save Job Posted: 5/2/2025 Back to Search
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programming languages such as Python, with experience in using machine learning libraries and frameworks. Experience with high-performance computing. Notes: This is a full-time, 2-year, postdoctoral appointment
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such as Python, with experience in using machine learning libraries and frameworks. Experience with high-performance computing. Notes: This is a full-time, 2-year, postdoctoral appointment with
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Skills and Qualifications: Experience with high-performance computing and parallel computing Familiarity with data
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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in