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). The Emerging Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization
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team and lead from knowledge and experience. Create parts, assemblies, and technical drawings using SolidWorks and/or Creo to a detailed level. Analyze variety of engineering problems using traditional
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expand scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop
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-data approaches to materials development, process optimization, recycling, or separations. Knowledge of biobased materials, polymers, chemical processing, or recycling systems. Familiarity with high
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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characterization, topology optimization, and real-time sensing. CSED focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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organizations, regulatory agencies, peer groups, and the research community. Strong knowledge of a wide range of IT services relevant to research support, including network infrastructure, cloud computing
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Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system performance, reliability, and scalability for large-scale computational
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optimal placement of Continuous Air Monitoring equipment. Support planning and design of nuclear and radiological facility modifications as required and perform calculations in support of engineering