303 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Oak Ridge National Laboratory
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, and assisting with conflict resolution efforts under HR leadership guidance. HR Systems & Process Support: Support ongoing enhancements to HR systems, workflows, and internal policies. Utilize Microsoft
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Information Technology, or a related field; or equivalent experience in lieu of a
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maintenance management systems. Ability to follow written and oral instructions. Ability to obtain and maintain a Mobile Equipment Operator certification. Special Requirements: Physical Requirements: Work
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, sponsor) guidelines. Adhere to DOE publishing requirements. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
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to support large scale self-supervising learning for large vision-language models. Collect, process, and analyze large volumes of high-resolution satellite imagery. Support the design and implementation
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physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa sponsorship is not available for this position. Benefits at ORNL: We offer competitive pay and
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process gas compatibility guides. Identify critical characteristics of components and define the corresponding inspection and acceptance criteria. Work with Manufacturing and Quality staff (both internal
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and the ability to maintain a good working relationship with fellow employees Special Requirements: Physical Requirements: Work involves various physical requirements and working conditions. As such, a
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Group in the Research Computing Services Division, in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Define and analyze system
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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