8 parallel-processing-"Flow-Analysis-and-simulation-Team" PhD positions at Zintellect
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diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology
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aircraft (Cloud Physics Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and
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, high-gain antenna systems, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying
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data streams—including physical process data and high-fidelity physics-based simulation outputs—to investigate a dynamic, predictive digital twin. You will investigate the feasibility and accelerated
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0266-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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chemistry and physics necessary for ALD to improve detectors and optics. Will interact with collaborators at JPL, Caltech, U of Colorado, Columbia, and other institutions. Will work in a team
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Zone Description Exciting Opportunity for Students and Recent Graduates: Join the DOE Scholars Program! Are you ready to make an impact on the future of energy and national security? The U.S
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, environmental sciences, and national security? The U.S. Department of Energy (DOE) is seeking passionate undergraduate and graduate students, as well as recent graduates, to tackle the nation’s most pressing