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would have a Ph.D. in water resources engineering, hydrology, or a related field. The focus of this research will be on the risks, resilience, and sustainability of major regional water resources systems
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: The successful candidate will have a Ph.D. in geospatial sciences or related sciences with an understanding of land processes through soil science, plant science, agronomy, or hydrological processes, and
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, emerging advancements in control and machine learning (e.g., deep reinforcement learning) are of interest but not required. Ideally, candidates would have a Ph.D. in water resources engineering, hydrology
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