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-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In
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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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). 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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ideas and writing proposals that establish new projects Understanding for creating, modifying, and analyzing OpenStudio and EnergyPlus building energy models Design, implement, and optimize scalable
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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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to optimize utility of captured signals Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives Qualifications: A PhD
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energy, science, and technology. Leveraging a 75+ year UT–ORNL collaboration, UT-ORII supports convergent research, joint institutes, interdisciplinary PhD programs, and leadership development
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manage a team of differing levels of personnel to reach a common goal. Demonstrated ability to write technical papers, reports, design and analysis calculations, and/or system design requirement documents
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Chain staff to maintain optimal inventory levels to support service goals and avoid shortages with an ability to forecast materials and parts for production needs. Facilitate custom part acquisition by
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priorities, while supporting a cohesive and effective digital experience across the enterprise. Major Duties/Responsibilities: Conceptualize, shoot, and produce short-form videos optimized for social media