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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and
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modification of low value waste materials and their derivatives. Physical, chemical and instrumental analysis of raw materials and finished products are used to determine the structural characteristic and
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to characterize the structure and function of plant, insect, and fungal genomes related to pecan cultivar development. Application of sequence resources from plants, pests, and pathogens will be directed towards
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of a mentor you will: Deepen expertise in cotton fiber chemistry and structure, gaining advanced training in analyzing moisture, wax, pectin content, crystallinity, and related functional traits under
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of synthesized compounds. Develop expertise in mass spectrometry as a tool for chemical identification and structural analysis. Understand applications of semiochemical chemistry in reducing pest pressure on
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participant to train on public health activities related to environmental health assessments, data analysis, community engagement, and scientific communication. The appointment will provide structured research
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light management practices for leafy green production under protective structures. Evaluate plant materials for responses to abiotic and biotic stress (high salinity, heat, and pathogen challenges
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, real time PCR, protein expression, tissue culture, construction of recombinant virus, Western blotting, light and fluorescence microscopy, and flow cytometry. You may also have opportunities to use our
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. Regular mentoring interactions will provide structured opportunities to explore scientific concepts and professional development goals. Engagement with biologists and natural resource professionals across