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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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produce Collaborative scientific research and interdisciplinary teamwork Development and optimization of analytical workflows and laboratory methods Communication of scientific findings to research and
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response to military relevant stressors, and in identifying nutritional countermeasures. Various methods including molecular assay techniques (e.g. qPCR, ELISA, confocal microscopy, -omics, immunoblots
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, implementation and evaluation science, program evaluation, mixed methods research and evaluation, applied prevention research, systematic literature reviews, data analysis, data interpretation and visualization
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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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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