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to aging. Specifically, this project will design models to develop biomarkers—particularly those related to blood vessels—to forecast clinical outcomes. This project will leverage unique datasets
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characterization of electrode materials Design, operate and optimize electrochemical reactors and separation systems, analyze and interpret data using electrochemical and materials characterization techniques (e.g
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furthering the culture of compassion, collaboration, innovation, accountability, acceptance, integrity, quality, and trust that is integral to our mission. The Health Sciences Campus is home to 23 Institutes
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prevent retinal diseases throughout the lifespan. The successful candidate will be involved in designing and conducting research projects and will receive advanced training to further develop professional
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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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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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design, genomics resources, and biospecimen repository, as well as a strong research informatics core, enable outstanding research in cancer epidemiology. Our Cancer Hospital provides superb resources
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research findings at scientific meetings. Experimental execution: Design, perform, and analyze complex cell and molecular biology experiments with a high degree of independence and technical proficiency
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accepted for a post-doctoral fellow in the Department of Population Health Sciences, Division of Health System Innovation and Research at the University of Utah School of Medicine. Strong preference will be
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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