147 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory in United States
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of quality initiatives, assesses satisfaction, and exchanges feedback and lessons learned. Analyze, interpret, and communicate quality and performance data to management in support of established metrics and
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National Laboratory (ORNL). This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing platforms
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analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine
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, computer engineering, business, science, or a related field of study and a minimum of eight to twelve years of Windows systems engineering and administration experience is required for consideration
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to a general science-interested audience as well as a more scientifically trained audience such as researchers and sponsors. Should also have a firm grasp of standard business computer software (e.g
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Requisition Id 16025 Overview: The Advanced Engineering Technologies (AET) Group is seeking a dedicated individual to support our organization. The position will involve machine design and process
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, GE iFIX/iHistorian, and Visual Basic. Experience with administration of historians, web-based clients, and SQL databases. Experience with virtual machine and thin client technology. Experience with
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(or ability to obtain one) preferred. Preferred Experience Familiarity with AI security, adversarial machine learning, or cyber-physical systems. Experience working with or within federal agencies such as DoD
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measurement activities to evaluate the mechanical and thermophysical properties of irradiated materials. Acquire, process, analyze, and report test data in accordance with applicable manuals, procedures, and
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, collaboration, inclusion and continuous learning. Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with sponsors (DOE, other federal agencies, industry, academia