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, Materials Science, Engineering Mechanics, Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence/Machine Learning, or a related field completed within the last 5 years Preferred
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in Python and C++ programming Ability to get and hold a security clearance A commitment to lifelong learning Preferred Qualifications: 5 or more years of experience relevant to the job duties
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Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
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research team, you will design, prototype, and evaluate SDR solutions to process and analyze multi-channel RF signals in support of Department of Energy (DOE), Department of Defense (DoD), and Intelligence
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Machine Design Engineering Group Leader who will support the Enrichment Science and
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facilitate activities for developing technical evaluation acceptance and verification criteria for items, services, and equipment. Confirm material qualification to design basis documents to ensure compliance
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and processes at scale in a HPC environment. Design and develop new creative solutions for increasing large volumes of historical and streaming data analysis on hybrid HPC and cloud computing platforms
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coordination, the dosimeter quarterly exchange, and sections organizational charts. Event Planning: Plan and coordinate on-site and off-site meetings, workshops, conferences, and events. Compliance and
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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Requisition Id 16099 Overview: We are seeking a Mechanical Automation Engineer who will focus on implement advancements in design, testing, and commissioning of equipment and infrastructure