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deep learning, computer vision, or generative AI. Demonstrated experience with one or more deep learning frameworks (e.g., PyTorch, TensorFlow). Demonstrated ability to work with large-scale Earth
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with one or more of the following models: WRF -Hydro, Advanced Terrestrial Simulator ( ATS ), Stormwater Management Model ( SWMM ), Hydrologic Engineering Center – Hydrologic Modeling System ( HEC
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work and leadership, reflecting established excellence in teaching, mentoring, and/or research. AI + Materials Department of Materials Science and Engineering, College of Earth and Minerals Science
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