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phenotypes in warm water aquaculture species. The fellow will learn to utilize genome-scale datasets from host-pathogen interaction studies along with high-performance computing resources to answer scientific
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within an integrated food safety systems framework. Specifically, the research focuses on high-risk bacterial pathogens: Salmonella enterica, Escherichia coli (STECs/O157:H7), and Listeria monocytogenes
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production systems. They will have the opportunity to learn how to program and maintain field based infrared gas analyzers, how to assess data quality, and to post-process, and analyze high-frequency EC data
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the following activities: Understand genetic diversity of Synchytrium endobioticum. Learning to Identify high priority geographical regions for continued sampling Mentor(s): The mentor for this opportunity is
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perform a range of techniques, such as nucleic acid extraction, quantitative polymerase chain reaction, insect nanoinjections, and toxicological bioassays, using specialized equipment. You will have the
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to perform bioassay-guided fractionation to isolate, purify, and characterize active compounds. The participant’s research will directly support efforts to identify novel phytochemicals from rice and rice by
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will be performed by viscometry. As a universal detector, RI allows for absolute quantitation of soluble dietary fiber with no need for ash or nitrogen correction, saving time and reducing cost
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validate algorithms for estimating heat stress, counting animals, and estimating mass in real-time. Although research is needed to integrate One Health assessments across the soil-pasture-animal continuum
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limited to: Performing neuro-pupillary testing that provides quantitative analyses of the health of the eyes and or nervous system. Performing assessments on paratroopers who have sustained high magnitude
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will have the opportunity to perform fundamental and applied research to better understand the physiological tolerances of beneficial and/or pest insects. Specifically, the project aims to determine how