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University of Minnesota
MN, United States (on-site)
3 days ago
University of Sydney
New South Wales, Australia (on-site)
12 days ago
IU School of Informatics and Computing at IUPUI
Indianapolis, IN, United States (on-site)
12 days ago
Florida International University
FL, United States (on-site)
19 days ago
Case Western Reserve University
Cleveland, OH, United States (on-site)
21 days ago
University of Illinois Urbana Champaign
Champaign, IL, United States (on-site)
24 days ago
University of Utah
UT, United States (on-site)
28 days ago
University of Minnesota
Minnesota, United States (on-site)
3 days ago

Description

About the Job

The Division of Computational Health Sciences in the Department of Surgery at the University of Minnesota - Twin Cities is seeking open-rank Professor candidates on an open-track ( academic track or tenure track), related to artificial intelligence, machine learning, data science, and biomedical informatics. They will access the exceptional patient data and translational opportunities through M Health Fairview and Academic Health Center-Information Exchange, CTSI, Masonic Cancer Center, and the Center for Learning Health System Sciences. They will engage in numerous collaborative opportunities across the six Health Sciences Schools. The successful candidate will join a uniquely interdisciplinary and collaborative research environment of scientists and scholars conducting innovative and impactful research aimed at improving health care outcomes and delivery. 

The Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota Medical School is driven to deliver clinical excellence, compassionate patient care, pioneering research, and the education of surgical leaders. The DOS consists of 91 faculty (44 research faculty members), approximately 36 fellows and 54 residents. The  Division of Computational Health Sciences is a newly created division which focuses on development of novel computational methods to analyze biomedical big data for advancing health care.

Qualifications

Candidates must have a PhD, MD or equivalent degree with expertise in any area related to computer science, health data science, biomedical informatics ore related discipline. Faculty candidates will have active research on innovative computational methods for health sciences and clinical research. The specific areas of interest are not restricted and may include expertise in: artificial intelligence, machine/deep learning, computer vision, predictive modeling, electronic health records, biomedical big data analytics, digital health and wearable devices, clinical informatics and clinical research informatics. Exceptional faculty candidates should have a strong scholarly record of developing and applying innovative computational and data science to health and are expected to develop a nationally recognized research program supported by extramural funds and thought leadership in their research field.

How To Apply

Interested applicants should send (1) a cover letter, (2) a Curriculum Vitae, (3) a statement of research expertise/statement, (4) a statement of teaching expertise/philosophy, (5) a statement on Diversity, Equity, and Inclusion, and (6) names and contact information for three references. Applications should be received by December 31, 2022, for full consideration. Positions will however remain open until filled. Applicants can contact the Division Chief Dr. Rui Zhang ([email protected]) for any questions or more information. Formal applications should be submitted through the following links.

Assistant Professor: Apply through https://hr.myu.umn.edu/jobs/ext/352773

Associate Professor: Apply through https://hr.myu.umn.edu/jobs/ext/352774

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu.



Job Information

  • Job ID: 67058675
  • Workplace Type: On-Site
  • Location:
    Minnesota, United States
  • Company Name For Job: University of Minnesota
  • Position Title: Open-rank Faculty Positions in Computational Health Sciences
  • Job Function: Academic Informatics
  • Job Type: Full-Time

Please refer to the company's website or job descriptions to learn more about them.

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