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computer image and data processing including archiving and data transfer to research and clinical archives (e.g., PACS). Calculate quantity of radiopharmaceutical activity and volume to be administered
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Facilities The Abdominal Imaging program at the University of Utah is equipped with state-of-the-art technology, including advanced CT, MRI, ultrasound (including high-risk OB), fluoroscopy, and image-guided
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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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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
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decisions. Individuals having a proven track record of research in two or more of the following areas are highly preferred: image analysis, computer vision, probabilistic modeling, uncertainty quantification
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Medicine, Imaging Sciences, and the Huntsman Cancer Institute (HCI) Center for Quantitative Cancer Imaging (CQCI) at the University of Utah invite applications for a full-time research faculty position
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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well as a mini C•arm within the the clinic. Order supplies. Maintain inventory counts Performs radiographic procedures, critiques radiographs and images to maintain quality control program. Knowledge / Skills
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Ability to prioritize work assignments Enjoys and can effectively multitask Computer knowledge and high interest in working with medical imaging data Type Benefited Staff Special Instructions Summary
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image processing algorithms to new clinical applications. The majority of Radiology research funding portfolio is investigator-initiated federal grants involving PhD and MD faculty. The program is