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analysis techniques (e.g., statistical software proficiency in SPSS, R, or qualitative analysis software) to manage data sets Professional Competencies: Strong written and verbal communication skills
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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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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
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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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request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not
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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