15 computer-science-image-processing-"Faculty-of-Engineering" 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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and computer science. The University of Utah is building a new program in integrating radiology and pathology imaging for clinical outcomes predictions. This program provides strong mentorship for a
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-of-the art approaches in cell biology, imaging, therapeutic development, and next generation gene therapy. Minimum Qualifications Preferences The successful applicant will have a background in cell and
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retinal tissue dissection, immunohistochemical and molecular assays, confocal imaging, and basic analysis of imaging data. The candidate will help with tissue processing and data collection across multiple
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including biochemistry, proteomics, genetics, and structural biology approaches. We are looking for candidates who are excited to develop an independent research program within this framework. Several
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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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Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus City Salt
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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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Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00055 - Chemical Engineering Location Campus City Salt Lake City, UT Type of Recruitment External
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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