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opportunity is currently available with the U.S. Geological Survey (USGS), located at Bozeman, Montana. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and
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infrastructure like seaports. This appointment is hands-on, and the selected participant should have a background that allows them to understand data and multiphysics models of complex systems and translate them
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pathogens affecting U.S. agriculture. The selected participant will join a multidisciplinary team investigating the bovine respiratory disease complex, with emphasis on bovine viral diarrhea virus (BVDV
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and Operations Directorates to provide a select number of undergraduate students with an exciting 10-week summer internship at LPS, located in the Research Park building complex adjacent to the
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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, interpreting, and visualizing trends and patterns in complex data sets. Gaining knowledge of state-of-the-art statistical, analytical, and visualization methods and techniques through reading, meetings with
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the geological record of Mars. The goal of this research is to use data from the martian rovers, i.e., Curiosity and Perseverance, together with terrestrial analog samples to help decipher the complex history
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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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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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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