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disparities in supportive care medication (SCM) use, using national datasets (e.g., SEER-Medicare, SEER-MHOS), predictive analytics, and stakeholder-engaged methods. The lab is committed to actionable research
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modeling. Contribute to and drive forward the project’s work plan and study goals. Ideal Candidates: The ideal candidate will hold a Ph.D. in Biology, Biochemistry, Epidemiology, Genetics, Genomics
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and Duties: Develop and lead research projects focused on analyzing tooth-based indicators of stress exposure and subsequent mental health risk. Coordinate data collection and manage collaborations with
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The Quantum Semiconductor Systems Group under the direction of Prof. Michael Manfra seeks a scientist with expertise in semiconductor nanofabrication to support several projects related to the development and