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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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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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combinations of approaches including electrophysiology, optical imaging, myocyte isolation, cell culture, and molecular biology. Expertise in electrophysiology and imaging approaches is highly preferred
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