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, implementation of management treatments, and the use of coding and process-based models to analyze natural resource dynamics. Learning Objectives: Under the guidance of a mentor, you will build experience in plant
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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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instrumentation, quantitative analysis, and modern modeling approaches that help connect fiber properties to fabric performance. Learning Objectives: Under the guidance of a mentor, you will: Develop
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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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
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Citizenship: U.S. Citizen Only Degree: Doctoral Degree received within the last 60 months or anticipated to be received by 11/30/2026 12:00:00 AM. Discipline(s): Life Health and Medical Sciences (13 ) Social
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elucidating proteases and protease activity in order to reduce protein breakdown after harvest and improving the amino acid profile of protein in the leaves. You will participate in a subset of these projects
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enrichment steps in order to improve testing speed and cost efficiency. Gain experience with microbiological and analytical techniques used in food pathogen detection and food safety research. Contribute