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data models aligned with community standards (e.g., W3C PROV), and build the query, storage, and streaming layers (e.g., message brokers, document and time-series stores) required to make workflow
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objectives. Major Duties/Responsibilities: Develop and automate image processing and data science workflows that support mission-driven analysis in classified environments. Design, implement, and maintain
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sponsors, isotope user communities, or other federal sponsors is preferred. Experience developing and implementing automation, process controls, modeling and simulation, process and equipment configuration
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. From designing advanced sensing platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale
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recognition technologies to address national security and other worldwide challenges. We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and
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data-driven methods for national security applications. Major Duties and Responsibilities Conduct research and development applying machine learning, statistical modeling, optimization, and data science
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shaping laboratory-wide and national strategies for AI-driven science and engineering. Major Duties/Responsibilities: Strategic Leadership Define and execute ORNL’s strategy for AI as a foundational
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected