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the field of Computational Material Modeling, related to the “Designing Solid Electrolytes for Li- and Na-ion Batteries using Deep Learning-based Models (DeepSolo)” project. The PhD candidate will be part of
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 14 hours ago
that provides an understanding of the mission, operations, and culture of DOE. As a result, fellows will gain deep insight into the federal government's role in the creation and implementation of energy
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