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to integrate multiple data sources through machine learning and regression modeling to predict post-fire landscape attributes from field-based and remotely sensed vegetation and fuel structure metrics
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scholar to: 1) Become proficient in CFD modeling of detonative combustion cycles. 2) Exercise CFD tools and collaborate on the development of new tools to accurately predict important combustion phenomenon
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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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(USGS), located at Laurel, Maryland. 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
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(USGS), the fellow will be located in the Department of Natural and Environmental Resources in San Juan, Puerto Rico. The USGS mission is to monitor, analyze, and predict current and evolving dynamics
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Republic of Palau. Ideally the selected participants will be located in the region, though consideration for remote participation is possible. The USGS mission is to monitor, analyze, and predict current and
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interprets molecules as graph networks, with atoms & bonds as nodes & edges, respectively. By predicting a set of grammar rules for constructing & modifying molecular graphs in a bottom-up fashion, new
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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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for catalyst development, such as predictive and generative modeling, and image analysis. Stipend: Participants receive a biweekly stipend based on their educational level. Stipend payments are taxable as an
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in AI/ML models applicable for catalyst development, such as predictive and generative modeling, and image analysis. Stipend: The selected participant will receive a monthly stipend commensurate with