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vulnerability assessment for priority terrestrial ecosystems across the Midwest and Northeast US. The assessment will synthesize current information from ecosystem models, published research, Indigenous Knowledge
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of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research
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improve federal transit operations and oversight. Projects may include: Performing exploratory data analysis across diverse FTA datasets. Building and evaluating statistical and machine learning models
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parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential to improve the effectiveness
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because of the large parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential
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with a team focused on developing new systems and novel techniques and tools, such as improving smoke modeling systems through a variety of means. This may include multi-model approaches, statistical and
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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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fellow for a research project titled, “Structural modification and update of the U.S. national harvested wood products carbon model (WOODCARB II)”. USDA Forest Service has been using the WOODCARB II model
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to learn and develop knowledge related to AI/ML model
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approaches will include species distribution models and integration of spatially explicit environmental variables including climate, hurricane disturbance, and land-use, among other global and Caribbean region