15 phd-position-in-image-processing-"EPIC" Postdoctoral positions at University of Utah
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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image processing, registration and analysis and a long-term interest to work in the health care sector. If you are interested in this position please contact: Dr. Allison Payne: allison.payne@hsc.utah.edu
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City, UT Type of Recruitment External Posting Pay Rate Range $61,008 - $74,088 Close Date 09/30/2025 Priority Review Date (Note - Posting may close at any time) Job Summary A postdocotral position is
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to Dr. Robin Shaw at robin.shaw@hsc.utah.edu . Responsibilities The position is a unique opportunity to gain experience in both basic and translational large animal cardiovascular research using state
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Sciences at the University of Utah invites applications for an immediate postdoctoral position in Dr. Paul S. Bernstein’s laboratory. The translational research focuses on the role of nutrition to treat and
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technologies in sustainable mineral recovery, direct extraction from aqueous sources, and electrochemical materials processing. The position offers opportunities to contribute to high-impact research, mentor
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Responsibilities Minimum Qualifications Preferences The position is for a highly motivated individual with 0 to 2 years of postdoctoral experience. Candidates should hold a PhD and demonstrate a strong background in
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Health Sciences PhD Program), and community engagement activities, we promote patient-centered health care and the delivery of evidence-based health innovations that improve population health and reduce
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well as metabolomics, metagenomics, or other state-of-the-art technologies. The position will involve participation in international consortia, statistical analyses, leadership on multiple publications, project
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inform public health, in particular, in low-income settings. Qualifications: PhD of equivalent in a relevant field including, but not limited to: evolutionary biology, epidemiology, biology, computational