Conduct original research developing and evaluating machine learning and computational methods for medical data, including preparing datasets, designing experiments, and interpreting results. Collaborate with faculty, clinicians, and researchers, publish and present findings, contribute to proposals and protocols, and support students and junior researchers as appropriate. Applicants must hold a PhD or equivalent in computer science, AI, engineering, applied mathematics, statistics, or a related quantitative field, and demonstrate strong computational and analytical skills. Candidates should have research experience and scholarly output, knowledge of machine learning or medical data analysis, programming proficiency (Python preferred), excellent English communication skills, and the ability to work independently and collaboratively.
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