Note: This program is for students in the Statistics or Computer Science PhD program at UW-Madison. It would serve as an alternative to the traditional TA/PA/RA forms of support.
Background: Problems in the generation, acquisition, management, analysis, visualization, and interpretation, of data , which have always been important players in biomedical science, now assume leading roles in the massive effort to understand health and disease. The unprecedented size, complexity, and heterogeneity of big biomedical data demands research that will allow us to more efficiently extract knowledge from data in order to make better predictions, to characterize biological systems, and generally to enable subsequent investigation. Modern biological, medical, and health studies often involve data sets from which useful, accurate information cannot be efficiently extracted with available methods. Resolving research challenges in this domain requires advanced skill in statistics and computer sciences as well as advanced knowledge of the relevant biomedical context. The BDS training program is designed to provide research training in these three areas.
For complete information, please see https://www.biostat.wisc.edu/content/predoctoral-training-program-bio-da... .