6 medical-image-processing-artificial-intelligence PhD positions at University of Utah
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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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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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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
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collection of over 9,000 pairs of donatedhuman eyes – complete with full genetic profiles, images, and ophthalmic and medicalhistories – and a large study cohort of AMD patients. The Sharon Eccles Steele
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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to tens of millions of medically relevant records. The Enterprise Data Warehouse (EDW) contains data extracted from many of the institution’s disparate source systems, including patient, visit, clinical