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methods, experimental design, and data quality Comfort using spreadsheets or other tools for organizing and visualizing information Strong attention to detail when documenting observations and following
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reports/visualizations and presentations, and collaborating with multidisciplinary teams. Learning Objectives: You will train with CDC’s Center for Forecasting and Outbreak Analytics, gaining hands
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pests and disease in greenhouses and research orchard blocks. Data Management: Meticulous record keeping of experimental data and notes; digitizing data; basic data visualization and statistical analyses
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, and analysis of DPS partner investment data. Collaborate on the development and expansion of a dashboard to collect, store, visualize, and analyze DPS science and evaluation science data. Learning
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methods to clean large line-level datasets, append and validate geospatial data, and create impactful visualizations, based on program needs and resources Describe knowledge gaps between theoretical and
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will also gain experience analyzing and visualizing trends related to importing infectious biological agents into the United States. Learning Objectives: Gain experience supporting CDC efforts to prevent
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phylogenetic analysis; Automate the production of tables, figures, visualizations, and quality-control summaries; Integrate genomic, laboratory, and epidemiologic data from multiple sources; Train to develop
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capabilities, contribute complementary signals; develop analytical approaches, visualizations, trackers, and other tools for understanding portfolio performance; synthesize scientific, programmatic, and
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, organize, and analyze environmental sampling data; develop data visualizations; conduct exposure pathway analyses; and evaluate the public health implications of potential chemical exposures. You will have
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reproducible analytic workflows, integrating data from multiple sources, creating data visualizations, and contributing to scientific reports, presentations, and manuscripts. This fellowship will provide a