3 phd-energy-or-power-or-grid-or-optimization positions at Oak Ridge National Laboratory
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resources and demonstrated ability in applying numerical techniques to water-energy research. Strong candidates will have advanced knowledge and skills relevant to one or more of the following areas: River
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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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, 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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