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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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). 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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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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(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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, 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
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, and Rocky Monitor and optimize system performance, ensuring high availability and stability. Perform regular system updates, patches, and backups. Install and maintain various software solutions
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prioritization. Facilitate weekly planning sessions and WIP reviews to ensure progress, alignment, and quality. Allocate tasks to designers and researchers, balancing workloads and optimizing resource utilization
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. Facilitate weekly planning sessions and WIP reviews to ensure progress, alignment, and quality. Allocate tasks to designers and researchers, balancing workloads and optimizing resource utilization
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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at temperatures of 50 mK-350 K and at fields of up to 15 T with emphasis on the development of new sensing protocols optimized for high-field and low temperature environments. In addition, these sensors will be