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maintain storage systems, including NAS (Network Attached Storage) and SAN (Storage Area Network). Troubleshoot and resolve issues related to storage systems and file systems. Monitor and optimize storage
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methods, complex optimization, population and evolutionary dynamics, cyber security and power grid analysis, and uncertainty quantification for engineered systems. Collaboration with experts from various
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algebra, machine learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical
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knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
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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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programs, supporting system reliability, asset management, and maintenance optimization to ensure long-term operational performance. As a U.S. Department of Energy (DOE) Office of Science national laboratory
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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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species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various
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team, you will support research tasks related to optimizing codes for scaling foundation models training, fine-tuning to other downstream tasks, lead polygonization of building footprint vector
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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