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transport, deposition, application system performance, and the measurement and modeling technologies that support these systems. Research Project: Under the guidance of a mentor, you will have the opportunity
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collecting soil, plant, and water samples; monitoring soil moisture with advanced sensors; organizing and processing research data; and contributing to modeling efforts that examine water and nutrient dynamics
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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performance. Through this experience, you will gain hands-on exposure to analytical instrumentation, quantitative analysis, and modern predictive modeling techniques. Learning Objectives: Under the guidance
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with these plants using in vitro and in vivo animal models. Animal tissue and cell culture models will be used to study the ability of compounds of interest to cross absorptive barriers as
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predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications, and mortality. Gain experience analyzing administrative
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of science-based data collection activities (qualitative and quantitative) and data analysis. Strong science communication skills, both written and oral. Experience in logic modeling, strategic planning
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your skills in molecular biology, virology, cell culture, vector biology, and animal models, to understand what drives the arbovirus transmission cycle. Additionally, you will be provided opportunities
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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
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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