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advanced digital manufacturing processes in support of the Army Modernization Priorities (https://www.army.mil/ standto/2018-01-16). Advances in additive and digital manufacturing create new sets
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application of a system-in-the-loop test rig for performing this control design maturation prior to the testing of these controllers on real experimental hardware. The work will also involve processing and
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at Hilo, and the Hawaii Army National Guard. The participant will be involved with field data collections, field research plot maintenance, greenhouse planting, laboratory sample processing, and data entry
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or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may reach out
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physics analysis tools, the participant will gain hands-on experience in data processing, spectral analysis, plasma diagnostics, and interpretation techniques. This experience will enhance the participant’s
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combination of spark shadography, high-speed video, radar, onboard sensors, and yaw cards, and is post-processed using novel system identification techniques to estimate aerodynamic parameters. Range
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such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology
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space and mission effectiveness of a suite of optimized hypersonic morphing actuation concepts using state-of-the-art, experimentally-informed MDAO processes. This research position is a critical part of
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, high-efficiency transmitters, low-phase noise RF sources, and other critical radar components. Topics also cover radar signal processing and machine learning, applying advanced techniques to enhance
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objectives: Develop processes and technologies to manufacture free-form and aspheric optical surfaces for potential grazing incidence (X-Ray) and normal incidence ultraviolet, optical and infrared (UVOIR