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services that track data lineage, model artifacts, and computational campaigns across the DOE complex, and coordinate with partner laboratories to align schemas, APIs, and metadata standards so that
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. industrial competitiveness, energy abundance, and resilient domestic supply chains. ORNL's Advanced Manufacturing program operates at the nexus of energy and industry, advancing applied S&T that helps U.S
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reproducible computational workflows that improve the processing, integration, and interpretation of imagery, geospatial, and operational datasets. The successful candidate will assess research and operational
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
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that span low-power edge computing utilizing spiking neural network algorithms to large models utilizing agentic AI to solve complicated problems in nuclear safeguards, warhead monitoring and fundamental
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projects, deploying workflows on large-scale computing environments, leveraging ORNL’s Frontier for its dense GPU-based high-performance computing resources to train large GeoAI models. Major Duties
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Requisition Id 16863 Overview: Within the NND, the Incident Modeling and Computational Sciences (IMCS) group focuses on modeling, analytics, and software development for nuclear incidents, such as
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Requisition Id 16824 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in
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Requisition Id 16826 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in