120 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at Oak Ridge National Laboratory
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Develop, maintain and review high quality code for internal tools using programming languages such as Python, Golang, or Rust Identity Management and Security: Deploy, configure and support identity and
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. Create Isometric drawings for weld tracking. Produce accurate inspection records. Qualification of welding procedures for compliance with ASME & AWS codes. Welder and welding operator qualification and
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Research Code of Conduct and the Safe Conduct of Research Principles Basic Qualifications: Requires a Ph.D. in an engineering or scientific discipline with a minimum of one-year relevant experience, a M.S
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of codes and standard practices. Document work performed in the forms of work instructions, drawings, and models. All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions
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applicable codes and nuclear quality requirements. Many of the nuclear-safety-credited I&C components control building ventilation systems. This role requires a thorough understanding of the operational
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development practices. Fluency in multiple scientific programming languages (e.g. Python, Julia, Fortran, C++) and awareness of AI-assisted coding techniques. Interest in applying AI/ML methods to scientific
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dynamics, machine tool error compensation and modeling, CNC system design, and/or machining process optimization. Experience with CNC machine tools, machine controllers, G-code, CAM software, machining
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common network protocols Programming and scripting skills in common languages such as Python and bash Understanding of versioning and code review tools like GitHub and GitLab Experience with configuration
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application of computational modeling, simulation, and data-driven tools for advanced composite manufacturing processes and structures. Develop software, coding frameworks, and digital workflows for process
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summaries, figures, and reports/publications as appropriate. Participate in code reviews, model reviews, and data readiness reviews to ensure analytical defensibility, transparency, and fitness-for-use in