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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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participate in the creation of next-generation drug discovery platforms for AMD. The successful applicant should have research experience in at least two of (a) deep learning and AI methods; (b) causal search
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drug overdoses. The translation of cutting-edge data science methods and results into usable scientific, policy-related or clinical knowledge is a particular focus. Example learning problems include
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internationally diverse PhD student body, who receive training both in the classroom and through mentored collaboration. We are surrounded by large databases that can be used to address important scientific
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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences