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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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-fumigant methods for disease control. Methods employed will provide training opportunities in the disciplines of plant pathology, microbial ecology, and plant physiology. Outcomes from research are expected
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formation (e.g., barré). Gain experience applying statistical and machine-learning tools to identify relationships between fiber properties and dyeing outcomes such as dyebath exhaustion, color strength, and
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, insect activity, or physical breakage before problems become widespread and result in significant economic losses. This research opportunity includes participating in field deployments in pilot-scale
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to the USDA Food Safety Program's development of an AI-powered, publicly accessible database integrating genetic, phenotypic and biotechnological information. Successful outcomes will enhance the profitability
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oilseeds. The research will also include extraction and analysis of cottonseed processing products (primarily cottonseed oil and protein). Successful outcomes will enhance the profitability and global
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fungal ecology with toxin outcomes. Conducting field and greenhouse experiments to identify and evaluate the effects of factors that influence mycotoxin risk Integrating computational and statistical tools