337 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Oak Ridge National Laboratory in United States
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, mentorship of junior staff, and the ability to influence program direction through data-driven engineering judgment and recognized subject-matter expertise. Key Responsibilities: Independently lead and perform
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. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities for professional growth
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for isotope enrichment. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities
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, work together, and measure success. Basic Qualifications: A BS degree in electrical, electro-mechanical, industrial, controls engineering or related field A fundamental knowledge of Programmable Logic
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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Group, Theory & Computation Section, Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Design, implement, and deploy advanced
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either through completing a recognized apprenticeship program or by obtaining an associate degree in the electrical/electronic field. An equivalent combination of education and experience will be
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guidance, processes and procedures. Ensure compliance with environment, safety, health, and quality program requirements. Maintains strong commitment to the implementation and perpetuation of values and
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are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability
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, and maintain computational workflows that enable reproducible, scalable science on leadership-class systems. You will collaborate with researchers across diverse domains to translate scientific