277 computational-physics "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Oak Ridge National Laboratory
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measurement activities to evaluate the mechanical and thermophysical properties of irradiated materials. Acquire, process, analyze, and report test data in accordance with applicable manuals, procedures, and
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Requisition Id 16046 Overview: The Computer Science and Mathematics Division (CSMD) is seeking an internationally recognized and research active computational scientist to lead and grow world
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the Research Computing Services Division, in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Provide Tier 1 Desktop Support paired with
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, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. About ORNL: As a U.S
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testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS degree in health physics, radiochemistry
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(ORNL). Our group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. The SE Group also provides technical support to operations and maintenance and performs systems
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of education and experience may be considered. Expertise in computational material design, additive manufacturing, and material science is a plus. Preferred Qualifications: Such a candidate (1) demonstrates an
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through regular communication and collaboration Ensure compliance with environment, safety, health and quality program requirements Maintain strong dedication to the implementation and perpetuation
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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