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observations and Earth system simulations to better capture the complexities of the hydrologic cycle. This research initiative focuses on enhancing the physical representation of hydrological processes in
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the last 60 months or anticipated to be received by 10/1/2026 12:00:00 AM. Discipline(s): Chemistry and Materials Sciences (7 ) Computer, Information, and Data Sciences (10 ) Earth and Geosciences (9
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SCINet-2026-0369 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Environmental and Marine Sciences
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Degree to be received by 12/31/2026 11:59:00 PM. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and
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to improve the safety, efficiency, effectiveness, and environmental sustainability of agricultural application systems, including aerial and ground-based equipment used to accurately and efficiently deliver
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0333 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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, Montana. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and