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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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of our daily lives, yet its full potential in medicine has not been achieved. Medical data—ranging from images and genetic information to electronic health records—is often complex and varied, creating
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at the University of Utah. Qualifications: The candidate should hold a PhD degree in Biomedical Engineering, Physics, or a related field, and have demonstrated excellence in medical imaging research, as evidenced by
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QUALIFICATIONS Applicants should have a PhD in Computer Science, or a closely related field and must have research experience in medical image analysis, including the analysis of pathology images using AI and
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Medicine, Utah Data Coordinating Center, Scientific Computer and Imaging Institute, and Center for Health Ethics, Arts, and Humanities; and drives discovery with meaningful societal impact. College
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Assistant/Associate/Professor in AI for Image Analysis and Computer Vision Bookmark this Posting Print
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unique resources, including a collection of over 9,000 pairs of donated human eyes – complete with full genetic profiles, images, and ophthalmic and medical histories – and a large study cohort of AMD
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of the following fields – drug and gene delivery, nanomedicine, gene therapy, molecular imaging and theranostics, biomedical engineering, immunology, cell biology, chemistry, biochemistry, or related fields
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be limited to, multiple aspects of clinical support and QA related to linear accelerator calibration, stereotactic and image guidance process QA, brachytherapy (LDR, HDR and Eye) support and potential
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models (LLMs), medical image analysis, digital oncology, and multi-omics data integration. The successful candidate will establish an independent, well-funded research program, contribute to exceptional