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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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, supporting a strong operational and research culture. As a member of the ORNL scientific community, you will be expected to Uphold ORNL’s Research Code of Conduct and contribute to a culture of integrity and
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/Responsibilities: Platform Operations & Implementation Assist in day-to-day operations for on-premises and cloud-based Kubernetes clusters. Develop and integrate critical components for networking, CI/CD tooling, OS
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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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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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of large-scale Linux-based HPC clusters, high-speed networks, and storage systems. Lead medium to large technical projects, coordinating requirements, schedules, and deliverables across internal and external
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software development and deployment High-speed network and parallel file system architecture Troubleshooting, diagnostics, and technical support Strong communication and multitasking skills Programming
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scientific outputs that may include peer-reviewed publications in top-tier water journals, professional scientific code/software contributions, and high-quality datasets. Candidates must also be willing
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actions. Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research and in dealing with others. Employ best practices
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responsible for leading a team of researchers focused on analysis, simulations, device design, system integration, and experimental evaluations of components, vehicles, and transportation networks to accelerate