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. Collaborate with scientists, researchers, and technical staff to ensure HPC resources effectively support scientific and mission objectives. Support identity management, authentication, and access control
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procedures and documents for handling, usage, storage, transport, or disposal of materials. Knowledge of work control requirements. Knowledge of general safety and personal protective equipment requirements
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model, vendor and subcontractor relationships. Define governance structures, policies (data governance, security, access), compliance (cybersecurity, data privacy, export controls). Performance Monitoring
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specifications. Support troubleshooting technical issues and drive actions to completion. Establish standard processes to ensure design control and configuration management. Ensure acceptance criteria is defined
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, ESED Line Management, and matrixed project controls staff to technically lead discrete project scope according to approved schedules, budgets, and technical milestones within the DUECE Project Management
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Contractors in a clear and concise manner. Adhere to the DOE Order 470.3C, Design Basis Threat to maintain compliance. Conduct assessments of Nuclear Material Control and Accountability (NMC&A) operations
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management practices, metadata standards, data lifecycle models, and digital preservation concepts. Familiarity with data or document collections related to nuclear nonproliferation, safeguards, arms control
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to ensure system reliability and performance. Security and Compliance: Ensure systems meet security and compliance standards by implementing appropriate controls and conducting regular audits. Collaborate
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standard (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics simulation codes, including coupling of multiple codes, and an understanding
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control, etc. Managing, maintaining, and refactoring ML codebases, pipelines, and workflows. Collaborating closely with research staff to design and implement novel ML approaches. Implementing scalable ML