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work is to identify phenomena and processes in satellite observations that can inform and improve our understanding and ability to simulate the terrestrial water cycle and it‘s relationship with global
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. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning
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, from the genome to the continent, and sub-daily to evolutionary time scales. This postdoctoral opportunity entails two major goals. One goal is for the candidate to gain experience in situ monitoring by
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Organization U.S. Department of Defense (DOD) Reference Code EACE-2026-0003 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Extremity Trauma
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2026-0037 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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financial and environmental costs and benefits of these practices. We will utilize data collected in a large-scale experiment on commercial farms near Clarksdale, MS to conduct a systems-level analysis of
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-FS-SRS-2026-0148 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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bioinformatics tools, pipelines, and statistical methods for the analysis of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2026-0160 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete