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, engineering, or chemistry prior to the start date. Please email Prof. Lee R. Liu at leeliu@purdue.edu with your CV, contact information for 2-3 references, and a brief research statement outlining your
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in computational biology, biomedical engineering, bioinformatics, computer science, statistics, or a related field. Strong background in machine learning, data integration, and high-dimensional data
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#22 on the US News and World Report ranking of Statistics graduate programs), and Purdue University, an AAU Member, is renowned for its strong science, engineering and agriculture programs
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#22 on the US News and World Report ranking of Statistics graduate programs), and Purdue University, an AAU Member, is renowned for its strong science, engineering and agriculture programs
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working