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. Candidates with a background in public health, epidemiology, health services research, biostatistics, and/or data analytics are encouraged to apply. Previous experience working with big data in R, SAS or
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related field such as urban planning, engineering, geography, epidemiology or biostatistics, with a strong interest in transportation. Demonstrated experience in grant and report writing. Demonstrated
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