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or developing and validating patient-reported outcome measures; (c) proficiency in statistical software such as R, Stata, SAS or Python for advanced modeling; and (d) good publication record in peer
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programming (e.g., Python, R, or Stata). Preference will be given to candidates with prior research experience in data-driven projects. Applicants are invited to contact Prof. Xiaolin Li at telephone number
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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