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to support research on how climate change and demographic change are reshaping prospects for sociopolitical stability, conflict, and violence in Africa. Successful candidates will have strong statistical and
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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with statistical analysis; interprets and evaluates results and compiles data for peer and PI review. Strong statistical and computer programming skills, including scripting (i.e., MATLAB, R, Python
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plants and soils. Proficiency with data analysis and coding in R or another statistical program. Strong written and oral communication skills. Application Deadline Job openings are posted for a minimum of
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funding, including with writing technical portions of grant proposals. Required Qualifications* A doctoral degree in epidemiology, sociology, health behavior, health policy, statistics, or a related field
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and writing, as needed Required Qualifications* A PhD by August 2025 in survey methodology, statistics, biostatistics, public health, gerontology, sociology or other related discipline Strong project
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analyses of occupational health data. -Prepare, compile, and analyze statistical data. -Prepare manuscripts and research grants. -Participate in professional development opportunities, including organizing
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-quality data visualizations to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and
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communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in
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projects in coordination with the PI with potential grant development and writing, as needed Required Qualifications* A PhD by August 2024 in survey methodology, statistics, biostatistics, public health