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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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data sources in support of assigned research projects Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data
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teamwork above all else. This position will be working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze
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, perform data cleaning. Develop machine learning algorithms, natural language processing tools, and end user tools. Develop and interpret MCMC models; develop meta-models. Analyze epidemiologic and
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personal interviews Schedule subject participation in research clinical trial, coordinating availability of necessary space, and clinical research support (e.g., physician, nurse practitioner, laboratory