You will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data.
The research topics include, but not limited to, computational approaches such as AI and machine learning; methodological foundations and computational approaches for AI for biomedicine, Bayesian inference, cancer imaging, digital pathology, spatial biomodeling, systems biology and other high-throughput data sources.
The postdoctoral fellow is expected to develop statistical methods and apply them to real-world studies, write manuscripts in peer-reviewed journals, disseminate research findings at professional conferences, and collaborate with biomedical researchers.
There will be opportunities to mentor PhD students on the research team. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.