The Post Doctoral Fellowship (PDF) is an intensive experience that provides opportunities both for self-directed research and interdisciplinary collaboration that prepares candidates who have completed the PhD for future academic/university or industry-related positions. This is achieved through collaborative and independent work with deep involvement in ongoing projects and the anticipation to develop and implement independent but mentored research.
Strong candidates for this program have graduate-level training in one or more of the following areas: statistics, biostatistics, epidemiology, health economics, ethics, computer sciences, or machine learning or related fields. Applications from those with appropriate analytical skills from fields of psychology, neuropsychology, sociology, genetics, anthropology, urban studies, measurement and evaluation, policy, mathematics, spatial analysis, health services, demography, or other related fields would also be considered. A purely basic science or isolated medical sciences background alone without demonstrated expertise through relevant education or publications or other evidence in one or more of the above fields will be insufficient for this position.
The PDF Program combines academic research, education, and professional work with progressive mentoring from a multidisciplinary group of professors and researchers. Fellows contribute directly to the program of research through their action-oriented involvement in workgroups, development of new methods, and managing and driving research projects to meet deliverables.
The purpose of the fellowship is to:
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