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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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issues Preferred Qualifications: Experience supporting research computing, High Performance Computing, or large-scale data platforms Knowledge of distributed and high-performance file systems Experience
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and expand field deployments across substations and distribution systems; drive standards activities to accelerate adoption; and lead publication efforts that establish ORNL’s thought leadership
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-scale distributed geospatial workflows that require GPU-based high-performance computing (HPC) across multiple network domains. Major Duties and Responsibilities: RSG is seeking a senior researcher who
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vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions. Implement cluster
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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well as other tasks as directed by management. Duties and Responsibilities: Using knowledge of principles and operation of transmission and distribution systems, overhead and underground distribution, and
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maintenance of the ORNL water distribution system (including potable and fire water), the wastewater collection and treatment system plant, and the storm drain system. This position is the resident authority
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of relevant experience in Linux systems administration or HPC systems engineering. Preferred Qualifications Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing
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utility production and distribution systems that provide utilities for buildings and facilities at UT-Battelle as well as other tasks as assigned my management. Utility systems include potable and process