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have the opportunity to learn to: Understand viral evolutionary biology and mechanisms of pathogenesis Evaluate host–pathogen interactions, immune modulation, and ruminant immunology Conduct
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to improve knowledge of interactions among soilborne pathogens, beneficial microbes, and crops as well as inform non-fumigant methods for sustainable disease management in strawberry and vegetable production
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data to map host-pathogen interactions and drug mechanisms of action. Developing a comprehensive, systems-level understanding of the viral life cycle, host-virus dynamics, and the pharmacological
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the molecular, biochemical and metabolomic mechanisms driving pathogenic virulence and plant resistance. The interaction between biotic and abiotic factors that contribute to virulence/host resistance will also
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interaction, and ion-exchange chromatography. Mentor(s): The mentor for this opportunity is Christina Arther ([email protected] ). If you have questions about the nature of the research, please contact
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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to characterize peanut and tree nut allergens and the interactions between food allergens and antibodies that cause food allergies. You will be a part of a research team that conducts basic and applied research