171 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Oak Ridge National Laboratory
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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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within the overall machine design. The team membership is cross-functional, including representatives from engineering, operations, manufacturing, quality, reliability, and any other necessary discipline
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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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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Industrial Controls, Electrical or Electronics Engineering, Automation Technology, Computer Networking
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Qualifications: A BS in computer science, information technology, computer engineering, or a related field of study and a minimum of 8 years of proven experience is required. An overall combination of equivalent
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. Collaborate with multidisciplinary engineering teams to integrate control algorithms, sensor feedback, and human-machine interfaces. Conduct risk assessments and safety analyses for manipulator designs
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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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troubleshooting mechanical or HVAC systems. Understanding of machining and fabrication practices, including welding/joining techniques, combined with a sound understanding of machine design. Exposure to regulated
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can lead computational and experimental activities using commercial codes to compare with experiments and also be able to develop new computational models and computer programs. The successful candidate