315 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "U.S" "St" positions at Oak Ridge National Laboratory
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environmental datasets for use in geospatial web applications. Collaborate with research scientists and stakeholders to integrate existing statistical models into application code and develop new features as
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cases across the stack and are comfortable with end‑to‑end testing. You actively participate in GitLab workflows—creating and reviewing Merge Requests, providing thoughtful code reviews, and working with
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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. Work with stakeholders to implement corrective actions, best practices, and lessons learned into existing processes. Flow down requirements from codes, standards, Federal Regulations, and contract
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(CM/GC) for the Second Target Station (STS)—a major Department of Energy project valued at approximately $2 billion. This role is part of the Conventional Facilities (CF) STS Project team. The STS will
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code and disassembly a plus. Familiarity with embedded systems preferred. Prior use and familiarity with web or network-related tools, e.g., burpsuite and wireshark a plus. Demonstrated desire and
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layers, modulation and coding, synchronization, channel estimation, and link management Build and validate over-the-air links and testbeds; conduct lab and field trials to characterize performance (e.g
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nuclear safety basis development, implementation, and maintenance. Validate, maintain, and operate computer codes to support nuclear facility safety analysis activities. Deliver ORNL’s mission by aligning
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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