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seek to improve germplasm use efficiency. The participant will gain experience using multiple databases for inventorying, tracking distributions, and managing phenotypic data to maintain identity
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, genetics, analytical chemistry, geology, geophysics, statistics, and physical sciences. DNA-related STEM research focuses on developing and validating new methods, including massively parallel sequencing
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formation, pathogen protection in biofilm, metagenomic shotgun sequencing and analysis, evaluation of decontamination/sanitation strategies in the cattle farm environment and statistical analysis related
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recommendation for you for this application. If you ask the same person to submit a recommendation for you for multiple applications in Zintellect, they must click the unique link in each email request, but will
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recommendation for you for this application. If you ask the same person to submit a recommendation for you for multiple applications in Zintellect, they must click the unique link in each email request, but will
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acid purification, amplification, Sanger and next generation sequencing, etc. Field, greenhouse, and benchtop research practices Mentor(s): The mentor for this opportunity is Sharon Andreason
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assays may include ex vivo, in vitro, and in situ techniques, such as histology tissue processing, nucleic acid isolations, flow cytometry antibody staining, qPCR, ELISA, bulk RNA sequencing, single-cell
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generating and evaluating genome sequencing data with various bioinformatic tools. During this fellowship, the participant will be able to: Develop an understanding of how genetic analyses can be used to study
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germplasm. Experiences and expertise in performing DNA, RNA extractions, polymerase chain reactions, and gel electrophoresis. Experience in performing Sanger and Next Generation Sequencing. Analyze resulting
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to conduct research using advanced DNA sequencing technologies; Understand the biology and ecology of invasive weed pathosystems and; Improve their written and oral communication skills. Mentor(s): The mentor