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technical and non‑technical stakeholders. Exercise creative and analytical thinking with diverse and multidisciplinary groups. Basic Qualifications: BS degree in computer programming or related field and at
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Qualifications: Demonstrated expertise in multi-physics simulations using particle-based simulations Demonstrated expertise in design and implementation of multi-physics codes for mechanics and fluid mechanics
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applicable). Automation, Infrastructure Platforms & Enablement Identify automation targets and lead adoption of infrastructure-as-code and configuration management (e.g., Ansible, Puppet, Chef, Kickstart
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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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development and budget preparation. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab
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). Experience auditing source code and disassembly to identify and characterize vulnerabilitie Familiarity with embedded systems Prior use and familiarity with web or network-related tools, e.g., burpsuite and
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temperatures, vacuum systems, or high radiation environments). Comprehensive knowledge of pressure vessel codes and high-pressure piping standards. Extensive hands-on experience in an advanced R&D laboratory
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, RTDS, Typhoon HIL, or similar systems. Familiarity with software coding and hardware development in the context of power systems research. Proven track record of scholarly publications and presentations
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performing troubleshooting and resolving bugs. Create and maintain software documentation and accompanying training materials. Adhere to Software Quality Assurance procedures, including managing source code in
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containerization. Knowledge of current AI/ML tools and workflows is preferred but not required. Major Duties/Responsibilities: Application Development and Deployment Gain working expertise with federated data