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tools and programming languages relevant to large-scale data analysis, including data visualization and reproducible research practices Collaborate with interdisciplinary teams to investigate
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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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the BioPermit information technology system and electronic database. Build skills in data management, analysis, and visualization of trends related to infectious biological-agent importation. Gain exposure
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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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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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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
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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opportunity to develop dashboards and other visualizations to support data-informed decision making. In addition, you will build scientific communication and professional development skills through
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modeling pipelines from data extraction and processing through all stages of modeling and visualization of results. Proficient with programming languages commonly used in quantitative ecology (e.g., C