{"id":20552,"date":"2026-06-26T11:05:32","date_gmt":"2026-06-26T15:05:32","guid":{"rendered":"https:\/\/www.rochester.edu\/coe\/?p=20552"},"modified":"2026-07-01T13:34:05","modified_gmt":"2026-07-01T17:34:05","slug":"20552-2","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/coe\/20552-2\/","title":{"rendered":"Iriscience – Tariq Adnan"},"content":{"rendered":"

\"a<\/a>\"AThis internship offers a student the opportunity to apply data science and machine learning techniques within a clinical research environment with a focus on AI-assisted ophthalmic screening tools. The intern will support the validation of machine learning models using diverse community-based clinical datasets, helping evaluate model performance, fairness, and reliability. Through collaboration with clinicians, researchers, and engineers, they will gain hands-on experience with clinical datasets, reproducible analysis workflows, and responsible AI practices in healthcare.<\/p>\n","protected":false},"excerpt":{"rendered":"

This internship offers a student the opportunity to apply data science and machine learning techniques within a clinical research environment with a focus on AI-assisted ophthalmic screening tools. 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