142 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Oak Ridge National Laboratory
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Requisition Id 16023 Overview: The Advanced Engineering Technologies (AET) Group is seeking a dedicated CAD drafter/designer to support our organization. The position will involve machine design 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
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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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of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design
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Requisition Id 16058 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
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of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train
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and apply basic GD&T concepts. Experience with ASME piping codes and process piping system design. Experience troubleshooting mechanical or HVAC systems. Understanding of machining and fabrication
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Conduct of Research including being personally responsible for ensuring safe operations by raising safety concerns, using a questioning attitude, considering hazards for every task, and never stop learning
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injection techniques, space charge simulation and theory, and control and mitigation of beam halo and other beam loss mechanisms, and machine learning efforts. Provide leadership to the group to support safe
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manufacturing, toolpath generation, machine tool operation, and data analysis. As part of this role, you will be tasked to lead the management of project timelines, troubleshoot equipment for routine maintenance