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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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areas. These include, but are not limited to: Developing, optimizing, and implementing multiple In Vitro lung models to evaluate the compounds that cannot be assessed using traditional animal models
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internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water
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an AI/ML database and modeling effort to enhance catalyst material discovery, optimize experimental protocols, and improve computational atomistic simulations. The project is aimed at efforts to convert
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has developed 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
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Project: Making informed decisions in wildfire management is critical to protect human life and infrastructure. Over the past seven years, the Potential Control Location Suitability model has been adopted
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touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The Professional Internship Program is designed to introduce
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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
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sensing systems, including recent NOAA and NASA satellite launches, and computer modeling systems. Mentor: The mentors for this opportunity are Susan O’Neill (susan.oneill1@usda.gov ), Sim Larkin
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of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in