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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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exceeding $140M, BESSD is addressing its mission through advancing and integrating discovery science; automated, AI-assisted capabilities for quantifying and optimizing plant-microbe-soil systems from genes
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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simulations to understand the physics driving enrichment technology and identify optimization paths. Propose and lead research to advance high mass ion source technology for flexibility across the periodic
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data and simulations to understand the physics driving enrichment technology and identify optimization paths. Independently complete research to advance high mass ion source technology for flexibility
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control methods to optimize pellet-fueled plasma scenarios. These studies will primarily be conducted on the Wendelstein 7-X stellarator located in Greifswald, Germany. This position is located at Oak Ridge
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that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree in physics or related discipline completed within the last five years
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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