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plasma-material interactions in fusion energy systems. You will also advance knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next
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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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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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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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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