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information technology (IT) security to model the dynamic physical consequences of cyber-attacks on the nation’s most critical infrastructure—including power grids, water systems, natural gas pipelines, and other
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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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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0363 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes Research Project: Rapid expansion of data centers to support
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present that were not as well understood when the public health assessment or health consultation was completed. ATSDR’s most important contribution to this process is to apply updated science to identify
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SCINet-2026-0372 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0056 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0077 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A