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recruiting faculty to lead cutting-edge informatics and artificial intelligence product development and implementation and health services research while promoting and facilitating collaboration. Priority
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problems in Biomedical Informatics. Complex problems include clinical decision making, and informatics implementation (including of Augmented Intelligence-enabled and Artificial Intelligence solutions) and
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, and analysis; manuscript and abstract preparation; artificial intelligence. The role may also include performing various research support functions to advance the department’s research objectives
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repositories, analytical pipelines, and lab data infrastructure. Stay current with emerging technologies and methodologies in data science, artificial intelligence, and ophthalmology research. Ethics and