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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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optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds. The Electric Motor Researcher will participate in research and development (R&D) related
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. These include areas such as additive manufacturing, quantum material design, scientific data reconstruction, for material discovery, inverse methods, complex optimization, population and evolutionary dynamics
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of a graded approach to quality. Knowledge of ASME NQA-1 and/or ISO 9001 quality standards. Experience in utilizing and optimizing management systems required for mission delivery (enterprise resource
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with communicators embedded in ESTD. The selected candidate will optimize ESTD’s external web presence, improve performance in AI-driven and traditional search environments, and establish measurable
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effectively through strategic video, social media content, and presentation materials. Major Duties/Responsibilities Conceptualize, shoot, and produce short-form videos optimized for social media platforms
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and machine-learning-driven optimization frameworks for polymer composite manufacturing processes. This position resides in the Composites Innovation Group in the Manufacturing Science Division (MSD
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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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magnetic properties. Extending this guide hall will allow for reconfiguring and optimizing the facility’s cold neutron instruments to significantly improve their performance, develop new capabilities, and
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role in designing, deploying, optimizing, and maintaining infrastructure that powers cutting-edge research across diverse scientific domains. This evergreen posting represents multiple opportunities