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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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the way, you will engage in activities and research in several areas. These include, but are not limited to: Examining Division and Department processes to identify inefficiencies and propose process
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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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be in English or include an official English translation. If you have questions about the application process, contact NETLinfo@orau.org . After you have submitted an application in Zintellect, you may
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. The student will learn to utilize molecular techniques, microbial culturing, metabolomics, proteomics or bioinformatics/statistics skills. Mentor(s): The mentor for this opportunity is Shin-Yi Marzano
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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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. The opportunity will include cataloging and organization of incoming samples, processing and preparing samples for analysis and entering of data produced during analysis. Fellows will collaborate with