Applicants should email CV and sample code to firstname.lastname@example.org
The Guan Lab in the Department of Computational Medicine and Bioinformatics, University of Michigan is seeking a postdoctoral fellow in the area of Artificial Intelligence in Biomedicine with computational, mathematics or engineering background. The fellow will be responsible for development of machine learning methods and software.
PhD in computer science, bioinformatics, electrical engineering, imaging physics, computational biology, mathematics, or related field.
The ideal candidate will have familiarity with python (or C++/JAVA) and English writing is expected for all candidates. Familiarity with SWIFT and Raspberry Pi is a plus but not required.
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 181825
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.