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of the project, including data integration, association analyses (EWAS), and development of predictive models using large, multi-dimensional datasets. The postdoc will work closely with PRI researchers and
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using large-scale state administrative panel data and survey data collected from students, teachers, and principals across the state of Michigan in both descriptive and quasi-experimental econometric
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policy interpretation and problem-solving to streamline processes. Maintain confidentiality and exercise sound judgment in handling sensitive information while ensuring efficient office operations
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interpretation and problem-solving to streamline processes. Maintain confidentiality and exercise sound judgment in handling sensitive information while ensuring efficient office operations. Coordinate student and
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and success · Identify sources of information and data to support strategies and use data and analytics to measure effectiveness of communications and marketing and inform continuous improvement. Brand
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. • Familiarity with employment and earnings data from the Quarterly Census of Employment and Wages. • Experience working with large data sets that contain millions of observations. • Excellent written and oral
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, partner-driven research projects that examine the impact of policies and programs using large-scale longitudinal administrative data from the State of Michigan, as well as survey and interview data
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large Big Ten research university. The candidate will work with the Department of Religious Studies to teach a 5-week online and asynchronous courses; examples: 1. Nonprofits and the Legal Environment and
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in communication supporting student experience and success · Identify sources of information and data to support strategies and use data and analytics to measure effectiveness of communications and
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practice. Our faculty have diverse research and teaching interests, including AI/big data; public relations; CSR; digital strategy; health, science, and the environment; social impact; political