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, the successful candidate will focus on research and development of grid-edge sensing, reliable timing, model aggregation, and hardware-in-the-loop validation for modern power systems. The objective is to improve
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Plants partners to understand measurement objectives, facility constraints, safety requirements, schedule needs, and required equipment capabilities. Support partners in selecting appropriate diagnostic
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construction) to ensure alignment with scope and objectives. Identify potential risks and develop mitigation strategies to minimize project impacts and secure successful outcomes. Implement best practices and
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effectively, and exercising sound judgment under pressure. Uphold the objectives of the Defense Manufacturing Program Office through planning and coordination of sponsor-related visits and other engagement
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associated with findings, nonconformances, events, and opportunities for improvement to determine whether the actions adequately address the identified conditions and whether sufficient objective evidence
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expertise in methods such as machine-learning force-fields for spinful materials, or multi-fidelity Bayesian models that can learn machine-learning force-fields along with effective spin Hamiltonians from ab
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studies, design reviews, and specifications development for upgrading existing radar and optical tracking systems and developing new radar and optical tracking systems for the Department of Energy (DoE) and
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, configuration-management, conduct-of-operations, and work-control requirements for Division activities, facilities, materials, equipment, and infrastructure. Develop and execute mission objectives by integrating
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projects involving complex machining and machine tool challenges. Define technical objectives, research approaches, project plans, milestones, deliverables, budgets, and risk mitigation strategies
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and storage technologies (e.g., PostgreSQL/PostGIS, SQL/NoSQL, object storage such as S3) and data processing workflows/formats (e.g., ETL/ELT, Parquet; DuckDB/Zarr a plus) Experience with Docker