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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
rotorcraft and Mars rotorcraft performance. The successful candidate will contribute to ongoing research aimed at improving understanding of low-density, low-Reynolds-number, high-solidity rotor performance
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and simulation and have high performance computing resources on-site. They expand into emerging frontier areas, such as they did, for example, over the past decade in quantum information and quantum
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of computer vision algorithms, with a focus on assessing performance in edge deployment settings. Their role will involve supporting model development, running experiments, and analyzing results to evaluate
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of computer vision algorithms, with a focus on assessing performance in edge deployment settings. Their role will involve supporting model development, running experiments, and analyzing results to evaluate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
The postdoctoral researcher will focus on the design, fabrication oversight, and characterization of high-performance integrated quantum sources. The research plan includes: Resonant and Non-Resonant Design
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analysis using computer software. Contact Dr. Jim Fletcher for further questions -jfletche@unf.edu Required Qualifications Minimum qualifications require a high school diploma with relevant research
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Compare with theoretical expectations Perform other related duties as assigned Basic Qualifications High School Diploma Some high school/college-level, courses in physics, astronomy, engineering, or related
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high quality training for future investigators. Undergraduate students, medical students, residents, fellows, new faculty, and research staff all benefit from the guidance and expertise of the Clinical
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: 2024361 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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datasets. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine