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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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complex, multi-model ecological forecasting workflow. The fellow will gain valuable experience in advanced model development, calibration, and synthesis of the forest succession, fire severity, and climate
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disease vulnerability, and fuels and fire emissions. They will gain experience with modeling, coding, and database management in support of a complex workflow. The fellow will gain valuable experience in
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of Oceanography at University of California, San Diego). The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver
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evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant to decision makers. As the Nation's largest water, earth, and
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group selection management to promote structural complexity, making them a useful test of different modeling approaches in the Forest Vegetation Simulator (FVS). Currently FVS users, which largely consist
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opportunity is available with the U.S. Geological Survey (USGS) located at Fort Collins, Colorado. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural
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developed through the USFS Fire and Aviation Management-led Interagency Wildland Fire Air Quality Response Program. They will gain experience with complex datasets from surface observational systems, remote
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the need for complex database programming and empowering users to effortlessly extract insights. As the selected participant, and under the guidance of a mentor, you will gain hands-on experience in the full
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(USGS), Eastern Ecological Science Center, located at Laurel, Maryland. The USGS mission is to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system