67 processor-"https:"-"https:"-"https:"-"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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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
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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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risks. Strong computer and organizational skills with the ability to multitask are required. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently
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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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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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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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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data