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Associate Professor of Computational Health Sciences
2 months ago
The University of Minnesota is seeking a highly qualified Associate Professor to join the Division of Computational Health Sciences in the Department of Surgery. The successful candidate will have expertise in artificial intelligence, machine learning, data science, and biomedical informatics, and will contribute to the development of novel computational methods to analyze biomedical big data for advancing healthcare.
QualificationsCandidates must have a PhD, MD, or equivalent degree with a strong scholarly record of developing and applying computational and data science to health. The ideal candidate will have a nationally recognized research program supported by extramural funds and a strong commitment to teaching and mentoring.
About the DepartmentThe Department of Surgery at the University of Minnesota is a world-renowned academic and clinical center of excellence, with a rich history of basic and clinical science research. The Division of Computational Health Sciences is a newly created division that focuses on developing novel computational methods to analyze biomedical big data for advancing healthcare.
BenefitsThe University of Minnesota offers a comprehensive benefits package, including competitive wages, paid holidays, and generous time off, as well as opportunities for professional development and growth. The University is committed to diversity and inclusion, and welcomes applications from candidates with diverse backgrounds and experiences.
How to ApplyInterested applicants should submit a cover letter, curriculum vitae, statement of research expertise, statement of teaching expertise, and names and contact information for three references. The University of Minnesota is an equal opportunity employer and welcomes applications from candidates who are committed to diversity and inclusion.
