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, identify populations at increased risk for severe respiratory illness, estimate disease burden, and inform public health planning and decision-making. As part of this research opportunity, you will gain
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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analytical methods in the R programming language. Stipend $85,000.00 – $95,000.00 Yearly Point of Contact Rachel Eligibility Requirements Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data
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systematic literature review, study design, and analysis of environmental health and exposure data while gaining experience applying epidemiologic, exposure-assessment, and biostatistical methods relevant
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are to enhance barley and oat productivity, quality, and stress resilience by combing traditional, molecular, and genomics methods. You will collaborate with other scientists in the unit and other institutes
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of microbial processes. Learn methods for measuring food texture, with a specific focus on vegetables, to explore applications in food science. This experience is designed to foster growth in scientific
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systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize
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Objectives: Build competency in designing and planning science studies, including performance measurement and mixed-methods data collection. Strengthen skills in applying quantitative and qualitative analysis
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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): Computer, Information, and Data Sciences (2 ) Engineering (2 ) Mathematics and Statistics (5 ) Other Non-Science & Engineering (1 ) Social and Behavioral Sciences (2 ) ORISE GO The ORISE GO mobile