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Assistant Professor, Computational Health Sciences
2 months ago
We are seeking a highly qualified candidate for a tenure-track Assistant Professor position in the Division of Computational Health Sciences at the University of Minnesota. The successful candidate will develop innovative computational methods and tools to support health sciences and clinical research.
Key Responsibilities- Develop and apply computational and data science techniques to analyze biomedical big data
- Conduct research in areas such as computer vision, predictive modeling, electronic health records, and digital health
- Collaborate with faculty and researchers across the University to advance health care outcomes and delivery
Candidates must have a PhD, MD, or equivalent degree with expertise in computer science, health data science, or biomedical informatics. A strong scholarly record of developing and applying computational and data science to health is essential.
About the DepartmentThe Department of Surgery at the University of Minnesota is a world-renowned academic and clinical center of excellence. The Division of Computational Health Sciences is a newly created division focused on developing novel computational methods to analyze biomedical big data.
BenefitsThe University of Minnesota offers a comprehensive benefits package, including competitive wages, paid holidays, and generous time off. We prioritize work-life balance and provide opportunities for professional development and growth.
How to ApplyInterested applicants should submit a cover letter, curriculum vitae, statement of research expertise, statement of teaching philosophy, and names and contact information for three references.
