This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/11869209 Description

The University of Chicago\'s Department of Radiology seeks Research Assistant Professors who will focus on applications of Deep Learning to prostate Magnetic Resonance Imaging (MRI). Appointees will conduct academic research in association with one of the leading laboratories working to develop innovative MRI methods for prostate cancer screening and image guided therapy. They will work with a large, interdisciplinary, collaborative, talented, and diverse group of people at University of Chicago Radiology Department and the MRI Research Center. The MRI Research Center is equipped with two state-of-the-art Philips 3T scanners with specialized detectors for prostate imaging. In addition, there is a 9.4 Tesla Bruker scanner for studies of small animal models of cancer. State-of-the-art computing resources are available in the Department of Radiology and in the University\'s Research Computing Center. We especially welcome applicants who have a strong programming background, experience in deep learning under conditions of data scarcity/ limited resources, and experience in biomedical applications of MRI. Publication record and contributions to grants will be considered.

A more complete overview of the department is available at http://radiology.uchicago.edu/.

Prior to the start of employment, qualified applicants must have: 1) a Ph.D. in Electrical Engineering, Computer Science, Bioengineering, Physics, or a related discipline, and 2) completed postdoctoral training.

To be considered, those interested must apply through The University of Chicago, Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/121258. Applicants must upload: CV with bibliography and cover letter. Review of applications ends when the position is filled.

For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.