Applications
are invited for a postdoctoral position opportunity in Biostatistics in the
Department of Mathematics and Statistics at the University of Calgary. The successful candidate will work with Drs. Thierry Chekouo and Xuewen Lu on the development of Bayesian statistical/machine learning methods for the analysis of high-throughput molecular data and survival data (i.e., genome, transcriptome, epi-genome, and more). The methods would be able to systematically integrate biomedical/biological knowledge in order to improve the prediction power of clinical outcomes. Domains of applications may include cardiovascular diseases, neurodevelopment disorders and cancer diseases. Postdoctoral fellows in the Department of Mathematics and Statistics are expected to teach up to two courses per year. Qualifications: The successful candidate should have (or is expected to complete by November 2020) a PhD in statistics, biostatistics or related discipline. A solid background in statistics or biostatistics, and strong proficiency with scripting and programming languages in one or more of Java, Python, C/C++, R, Stan or BUGS is preferred. Applications must be received no later than March 28, 2021. Review of applications will begin immediately and continue until the position is filled. The start date is negotiable but preferably on May 1st, 2021. Calgary,
Canada’s fastest growing major city, offers a vibrant, multicultural and
family-oriented environment with a population of more than one million.
Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary
has great quality of life and outstanding recreational activities. How to apply Applications can be submitted electronically through mathjobs.org and consist of:
Or email the material as a
single PDF document and have referees forward their letters to the supervisors: |