145 machine-learning-"https:" "https:" "https:" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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. Preferred Qualifications Experience with vacuum, magnets, water, power distribution, and instrumentation/controls systems. Experience with rotating machinery/engines or machine/parts tolerancing. Ability
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to ensure security practices and procedures are understood, implemented, and enforced. Job Duties and Responsibilities: • Maintaining computer networks including VPNs, routers, and other physical hardware
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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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Requisition Id 16081 Overview: We are seeking an Electrical CADD Designer III who will focus on producing designs, and engineering drawings using computer-aided design (MicroStation/AutoCAD
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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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feedback, and exchange lessons learned. Conduct quality assessments of work, including document reviews, to verify adherence to specifications and compliance with requirements. Serve as software quality
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and communication skills (verbal and written) are preferred. Proficiency with computer systems and applications including Microsoft Office Suite and Adobe Acrobat. Recognized locksmith certification
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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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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
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the development, implementation, and interpretation of optical plasma diagnostics and integration of real-time data acquisition systems. Experience with machine learning and data-driven approaches to diagnostic