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Vision. Position Overview This position is part of a strategic expansion in artificial intelligence (AI), image analysis, and data science at the Kahlert School and the SCI Institute at the University
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world-class research to end vision-impairing macular disease. This position is for 2 years; extension may be possible based on additional fundsbecoming available The Sharon Eccles Steele Center
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. Application materials should include (1) a cover letter highlighting the applicant’s qualifications and vision of the key initiatives in research, education, and academic leadership for the department (not
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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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, genomics and some biostatistics helpful. Master of Science degree or PhD in Bioinformatics, Computer Science and/or Life Sciences preferred. This position has no responsibility for providing care to patients
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complex health care delivery system. Through our research, education (our Population Health Sciences PhD Program), and community engagement activities, we promote patient-centered health care and the