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research-operational partnerships and learning about systems involving forest fuels and fire emissions modeling. They will gain experience with modeling, coding, and database management in support of a
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updates in a landscape evaluation toolkit, which include new models for listed and sensitive species. These models can inform managers during planning on how to improve forest health and reduce adverse
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that pose a threat to US agriculture and public health. Potential areas of research include genomic epidemiology, virus evolution, ecological surveillance, ecological modeling and modeling of viral
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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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gas and other energy resources, policy assessment methods, including economic and modeling skills, and computer software products Research experience Excellent written and oral presentation skills Both
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modeling, economic evaluation, and surveillance to enhance analytical tools. Activities will focus on gaining hands-on experience and contributing to emergency preparedness and surveillance planning
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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
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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