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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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influence outcomes based on early immune response dynamics. Opportunities for additional training, communication of findings, and professional networking will also be available. Mentor(s): The mentor
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independently as well as with a team; Be a self-starter capable of being in a fast-paced environment; Willing to learn from a variety of situations and interpersonal dynamics; Ability to leverage interpersonal
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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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dynamics. Gain experience evaluating integrated pest management (IPM) strategies and their effects on resistance-allele frequencies over time. Develop experience in long-read sequencing, genome assembly, and
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identification to support realistic model development. Gain experience analyzing model outputs using established statistical techniques to interpret invasion dynamics and risk patterns. Build foundational
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appointed. Application Deadline 9/3/2026 9:00:00 AM Eastern Time Zone Description The Office of the Assistant Secretary for Research and Technology (OST-R), works at the dynamic intersection of new and
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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