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of complex sequence data to generate metagenomes, genomes, and/or transcriptomes from insect vectors and microbes Generation of new tools, as needed, for above processes and analyses Gain understanding
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to be involved in ultra-processed foods in chronic disease. Located within the Division of Program Coordination, Planning, and Strategic Initiatives in the Office of the Director, National Institutes
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design concepts, integrated data collection and analysis methods. The participant will have the opportunity to learn more in-depth statistical analysis techniques or molecular biology tools (bioinformatics
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to conduct research in the food safety arena, gain new knowledge on developing novel advanced analytical techniques for food safety monitoring; and evaluate the analytical performance aspects of different
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of a mentor, the participant will be involved in microbial sequence data analyses using bioinformatic tools, identifying beneficial microbes from soil and plant rhizosphere, and compiling the research
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perform unbiased and amplicon sequencing. process and interpret data sets generated through sequencing. prepare data for scientific presentation (i.e. abstracts, posters, presentations and papers). Mentor(s
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molecular identification of insect communities associated with different cover crop species; maintenance of insect colonies; and maintenance of greenhouse and laboratory experiments. Learning Objectives
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group selection management to promote structural complexity, making them a useful test of different modeling approaches in the Forest Vegetation Simulator (FVS). Currently FVS users, which largely consist
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landscapes to mitigate mortality levels. The participant will be helping in establishing field research sites, processing tree cores from studies aimed at examining tree and stand resistance bark beetles and
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, such as: Characterizing geographic differences in infection risk of HPAI in domestic animals. Exploring response options, such as vaccination or surveillance strategies. Learning Objectives: The fellowship