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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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Qualifications: A two-year degree in Electronics or a related field, or equivalent military or technical school training. A minimum of four years of relevant hands-on maintenance experience in the repair
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI
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for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced
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photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of experimental apparatus. Experience with vacuum
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worldwide challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning
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, engineering, applied mathematics, or a related discipline. Experience with image processing, imagery analysis, computer vision, or geospatial exploitation workflows involving satellite imagery, full-motion
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, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
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a minimum of 5 years of relevant technical experience. An equivalent combination of education, military technical training, and relevant technical experience may be considered. Ability to perform
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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate