-
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
-
analyses of occupational health data. -Prepare, compile, and analyze statistical data. -Prepare manuscripts and research grants. -Participate in professional development opportunities, including organizing
-
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
-
science research institution in the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography
-
research, as evidenced by publications, training, and proficiency in statistical analysis. The fellow should have a career trajectory in the field of social epidemiology, cognitive aging, dementia, and/or
-
classes currently in-progress and taken in the past that are in economics, mathematics, or statistics. Please indicate the name of the course, semester/year taken, the institution at which the course
-
factorization and other core signal processing concepts Expertise for data analysis and statistical evaluation inMatlab, C++, and Python High-performance computing skills Background Screening Michigan Medicine
-
, computational and statistical genetic and bioinformatic methods implementation; vascular biology research using in vitro and in vivo models of cardiovascular diseases, particularly those that disproportionately
-
the world. This interdisciplinary community includes researchers from sociology, anthropology, economics, psychology, information and computer science, statistics, geography, public policy, public health, and
-
publications and present findings at professional meetings. A collaborative, curious, proactive and organized temperament. Desired Qualifications* Desired qualifications considered a plus: statistical training