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solves vegetable production and protection problems for the Southeastern U.S. and nationally. This project aims to generate fundamental knowledge of whitefly-virus-host plant interactions
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an opportunity to receive hands-on experience in navigating the complex molecular interface of plant-pathogen interactions. The participant will be encouraged to analyze experimental data, troubleshoot complex
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a wide variety of conditions. But the current generation of these models struggle to accurately capture interactions between watershed hydrology and crop performance. In collaboration with the mentor
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individuals (within two years of graduation) seeking experience in the area of host-virus interactions, therapeutic and vaccine development, and surveillance for emerging infectious viral pathogens. Our
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fellow to join our project to investigate host-microbe interactions for the discovery of antimicrobial resistance transfer mechanisms involving multidrug-resistant Salmonella, analyses of genomic and
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chosen to span a wide range of biophysical and market conditions. The participant will interact in a team environment with research collaborators and will communicate with the research team, forest
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and their natural enemies. This research will leverage advanced 'omics' technologies and 'big data' analytics to unravel complex pest-natural enemy interactions, understand host associations, and
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GRIN-Global. Our goals are to interact with our collaborators to either upload DArT genotype data directly into GRIN-Global or to link genotype data via external platforms (e.g., Legume Information
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biology, biotechnology, and chemical biology to honey bee health challenges. Projects include therapeutic development and mechanistic studies to understand host–pathogen interactions. The fellowship will
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participate in the remeasurement and data management of a newly established experimental network and a long-term, ponderosa pine, initial spacing and thinning trial. The fellow will be able to interact with