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principles. Source code and disassembly auditing for vulnerability and malware triage. ICS/SCADA systems familiarity, focusing on OT associated data systems. Hardware data extraction from embedded devices
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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technical depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for
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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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through the creation of sophisticated 3D CAD models and detailed design packages suitable for fabrication. This position resides in the Plasma Enrichment Deployment & Engineering Group in the Plasma
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Benefits at ORNL: UT Battelle
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configuration control. This position resides in the Data and Communications Services Group (DCS) in the Fabrication Instrumentation and Inspection Division (FIID), and Facilities and Operations Directorate (F&O
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with codes and regulations, and observe all safety rules. Preferred Qualifications: Completion of an apprenticeship program and/or formal training programs as well as industrial experience is preferred