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collaborating with the mentor, you will investigate evolutionary changes in pathogen populations, assess the role of microbes and host physiology in disease resistance and susceptibility, and evaluate non
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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, will have opportunities to collaborate with other researchers, and possibly develop projects of your own. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn
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and global competitiveness of the U.S. farming industry through creation of enhanced maize genetic resources. Learning Objectives: You will gain experience within a collaborative, multi-disciplinary
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competitiveness of the U.S. cotton industry through creation of enhanced cotton genetic resources. Learning Objectives: You will gain valuable experiences and skills in a collaborative, multi-disciplinary research
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to model fungal population shifts and identify environmental or biological drivers of mycotoxin risk. Collaborating with plant pathologists, microbiologists, chemists, and data scientists to develop