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national scale programmatic decisions and policy. Specific activities include: Operationalize, and where needed, improve Bayesian spatio-temporal feral swine abundance model allowing predictions to be
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inference (otherwise known as spectral retrieval), which involves using forward models in conjuction with Bayesian or machine learning-based techniques in order to derive posteriors on parameters of interest
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experiments to investigate weed control, physiological responses, and herbicide resistance mechanisms. Learning Objectives: Under the guidance of a mentor, the participant will: 1) Gain hands-on research
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interconnected research tracks: Post-Fire Hydrology and Debris Flow Hazard: Fellows will collaborate with researchers to collect and analyze field data related to post-fire runoff and sediment transport
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responses to environmental disturbances. Fellows will practice a variety of data collection, monitoring, and analysis techniques by collaborating on the following research track: Post-Fire Hydrology and
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interconnected research tracks: Post-Fire Hydrology and Debris Flow Hazard: Fellows will collaborate with researchers to collect and analyze field data related to post-fire runoff and sediment transport
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, integration, and analysis of large, diverse datasets that benefit from high performance computing (HPC) clusters. The objective of this fellowship is to facilitate cross-disciplinary, cross-location research
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alter the thyroid pathway. The objective of this research project is to develop and validate a zebrafish embryo toxicity test with a set of reference chemicals to assess the potential for the chemicals
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, including measuring in planta defense phytohormones; and, 6) modern statistical analysis techniques via research collaborations with Iowa State University’s Statistics Department. Learning Objectives
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derived volatiles, will be used as complementary tools to link microbial communities with insect behavioral responses. Learning Objectives: Through structured mentorship, the participant will gain