How to Apply
Applications should include a CV, research statement and three references.
The Systems Imaging and Bioinformatics Laboratory in the Department of Computational Medicine and Bioinformatics, University of Michigan is seeking a postdoctoral fellow to develop statistical models for multiparametric imaging datasets in the context of an NIH R01 funded project. The fellow will be responsible for development of image analysis workflows as well as predictive models to relate image-derived phenotypes and genetics with clinical outcomes. Experience in predictive modelling and variable selection of imaging phenotypes in the presence of spatial variation would be strongly preferred.
Multiple collaborative opportunities are available at the University. Our collaborators include clinicians and methodologists at the University, including the Michigan Institute for Data Science (MIDAS), as well as statisticians at the University of Nottingham and The Ohio State University. Additional opportunities for collaboration are available with faculty in the Radiation Oncology, Biostatistics and Statistics departments.
PhD in statistics, bioinformatics, electrical engineering, imaging physics, computational biology, mathematics, or related field.
The ideal candidate will have familiarity with modeling of imaging (preferably radiology) data. Additional desirable qualities include the ability to effectively work both independently and in a team, good communication skills, and a deep commitment for methodology development in the context of cancer bioinformatics.
For questions regarding the position, please email Arvind Rao at firstname.lastname@example.org.
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Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.
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The University of Michigan is an equal opportunity/affirmative action employer.