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Joint Postdoctoral Research Fellow at Penn and Cornell
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The University of Pennsylvania is a prestigious institution with the inclusive policies, innovative work, and impactful engagement of our faculty, students, and staff. The Perelman School of Medicine ranked 3rd among the best medical schools in the United States in 2016. The Department of Biostatistics, Epidemiology and Informatics at Perelman School of Medicine has excellent program in education and research.
We are recruiting postdoctoral research fellows to be jointly supervised by Dr. Yong Chen (https://penncil.med.upenn.edu/about-pi/) at the University of Pennsylvania and Dr. Yang Ning (https://stat.cornell.edu/people/faculty/yang-ning) at Cornell University, and will work on real world problems that are motivated from massive healthcare data (e.g., electronic health record data, claims data, biobank data).
Examples of areas of particular interest include (but are not limited to): (1) distributed inference (federated learning, transfer learning, meta-learning); (3) causal inference using real-world data; (3) semi-supervised learning; (4) high-dimensional inference; (5) efficient sampling design.
Doctoral degree in Statistics, Biostatistics, Computer Science, or a related quantitative field.
Strong theoretical training in statistics and computing (R and Python) are desired.
Excellent communication skills and good track record of writing scientific papers.
Experience in statistical theory and methods development, machine learning, and comparative effectiveness research is preferred.
The position is available immediately and for up to three years.