176 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Oak Ridge National Laboratory in United States
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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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-throughput, reproducible, and adaptive experimentation. Establish data-flow architectures that support real-time feedback, metadata capture, provenance tracking, and long-term reproducibility. Technical
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and problem solving. Strong computer, organizational, verbal and written communication skills, with the ability to multi-task. Strong analytical skills; customer service experience; and the ability
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Requisition Id 16004 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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Requisition Id 16005 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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vacuum, magnets, water, power distribution, and instrumentation/controls systems. Experience with rotating machinery/engines or machine/parts tolerancing. Special Requirements: Work involves various
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) for approved purchases. Thorough working knowledge of administrative policies and procedures. Excellent computer skills with demonstrated working knowledge of the Microsoft Office suite including Adobe
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Requisition Id 16000 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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excellent interpersonal, communication, computer, writing skills, and professional image. Refined teaming skills and understanding and demonstration of effective team collaboration concepts. Ability to multi
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within the overall machine design. The team membership is cross-functional, including representatives from engineering, operations, manufacturing, quality, reliability, and any other necessary discipline