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participation in an ongoing random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program
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technology focused on gas testing of prototype enrichment devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first-principles physics and
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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, substation, corridor scenarios) Integrate physics-informed machine learning models with signal processing feature extraction Develop prototype software tools for automated waveform analytics and real-time
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Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of eight (8) to twelve (12
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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light scattering, and flow image analysis-based approaches. This position resides in Chemical and Isotopic Mass Spectrometry (CIMS) Group in the Nuclear Analytical Chemistry (NAC) Section, Chemicals
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structure, property, and function in support of the user program and theme science. Selection will be based on qualifications, relevant experience, skills, and education. Functional Hybrid Nanomaterials
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, assembly, and inspection processes to support multiple enrichment technology programs. The Prototype Manufacturing Group resides in the Enrichment Systems Fabrication and Demonstration Section, Enrichment