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secure/robust communications research. One focus of our team is developing solutions that utilize artificial intelligence and machine learning to optimize communications in complex RF environments. Our
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components (PFCs) in toroidal confinement experiments in pursuit of 1) Determining the overall power balance in each facility, 2) Develop and test new, optimized PFC designs, and 3) Developing operating
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-enhanced manufacturing, including digital twins, process automation, and data-driven materials supply chain optimization. The role includes working with industry partners and leveraging ORNL’s Manufacturing
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optimization, dimensionality reduction, embeddings, etc.) An understanding of the operations and challenges with the national security and military environment. The ability to interaction with national security
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adoption of metallurgy technologies. Major Duties/Responsibilities: Conduct research using STEM, energy dispersive X-ray spectroscopy, and electron energy loss spectroscopy Optimize advanced methods
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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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of ceramic microspheres. Additionally, the hired candidate will support experimental investigations aimed at optimization of wet chemistry routes to produce actinide compounds and refractory ceramics
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(SSIS) to extract, transform, and load data from a variety of sources; optimize and troubleshoot SSIS packages for performance and scalability. Work closely with business users to design, develop, and
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models
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, and providing subject matter expertise to research teams, and other team members about the data models, query optimizations, and schema interpretation. Design, build, and launch new data/study marts