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. You will take plant, soil and air samples and examine biogeochemical processes that influence carbon and nitrogen dynamics and cycling in different cropping systems, and study interactions within
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of unknown PFAS, supporting agricultural research and advancing the ARS mission. The project will involve compiling high-resolution mass spectrometry (HRMS) databases for PFAS, creating machine learning models
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scientists to characterize movement patterns of stored-product insects across U.S. agroecosystems and to identify invasion pathways. This includes modeling environmental variables that predict population
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health-related projects. Primary techniques and approaches will include establishing intestinal organoid in vitro models to test hypotheses relating to mechanisms response of intestinal epithelial cells in