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sustain key internal relationships (e.g., Strategic Partnership Program, Office of the General Counsel, Contracts, Finance, Accounts Payable/Receivable, Technology Transfer, Institutional Planning, Special
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in electrical engineering
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joint R&D initiatives and technology transition pathways. Represent ORNL and CAISER at national security forums, conferences, and interagency working groups. Support proposal development, contract
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allocation, job scheduling, and load balancing to maximize the efficiency of HPC systems. Team supervision and mentorship: Lead and mentor a team of engineers and administrators, providing technical guidance
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and able to participate creatively in defining and refining research directions. Major Duties/Responsibilities The successful candidate will interact with a team of scientists and engineers at ORNL in a
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laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad spectrum of scientific and engineering
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Requisition Id 15945 Overview: The Oak Ridge National Laboratory has an opening for a Painter. In this position, you will perform, under limitedsupervision, a wide variety of painting jobs utilizing various application methods throughout the laboratory. Major Duties/Responsibilities: Perform all...
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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: A BS degree is an engineering, science or technical field with at least 8 years of relevant experience. Four years of nuclear experience (two years may be nuclear/non-nuclear power plant experience
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in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable