25 Statistics research jobs at University of Michigan in United-States

Postdoctoral Fellowship

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

RESEARCH ASSISTANT I MATH & STATS (STUDENT TEMP)

mathematical and statistical research into developing algorithmic impact assessments of police use of AI systems. This position will be under the supervision of Dr. Tian An Wong. Required Qualifications* Current

Research Fellow

with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health

RESEARCH FELLOW

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

Agroecology Postdoctoral Fellow

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

Research Fellow

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

Postdoctoral Research Fellow

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

RESEARCH FELLOW

analyses of occupational health data. -Prepare, compile, and analyze statistical data. -Prepare manuscripts and research grants. -Participate in professional development opportunities, including organizing

RESEARCH FELLOW

-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

RESEARCH FELLOW

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