Conduct original research developing and evaluating machine learning and computational methods for medical data, including preparing datasets, designing experiments, analyzing results, and maintaining reproducible workflows. Collaborate with faculty, clinicians, and researchers, and communicate findings through publications and presentations while contributing to proposals, protocols, and research mentorship. Applicants must hold a PhD or equivalent in computer science, artificial intelligence, biomedical engineering, electrical engineering, applied mathematics, statistics, or a closely related field, and demonstrate strong computational and analytical research ability. Candidates should have a foundation in machine learning or medical data analysis, scholarly research output, scientific programming experience (Python preferred), excellent English communication skills, and the ability to work independently and collaboratively.
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