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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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precipitation patterns with hydrologic and hydraulic models to quantify potential future flood impacts in the study watersheds. The project is supported by the Department of Energy Resiliency Center
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Intelligence Research Institute of SUAT Center for Neurocognition and Social Behavior Large Model Research Center Computer Vision and Recognition Center Center for Al in Medicine Center for Embodied
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Computational and Data Sciences (ICDS), the Materials Research Institute, and related interdisciplinary initiatives; engage with industry through the Behrend Open Lab and the Center for Manufacturing
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393 "Trajectories of Affective Disorders". As a University of Excellence, TUD offers excellent research opportunities at the Neuroimaging Center, including a 3 Tesla MRI scanner, an MRI-compatible 64