140 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" uni jobs at Wayne State University
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the following materials to the online hiring system: CV Cover letter Research Statement Writing sample (25 pages maximum) Contact information for three references Application review will begin on February 1, 2026
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information for three references Teaching portfolio (20 pages maximum that includes a statement of teaching philosophy, sample syllabi, and if available, student or faculty evaluations of teaching) Application
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. The candidates will work closely with Detroit PEER director Dr. Sarah Lenhoff (Wayne State University) and Detroit PEER affiliate researcher Dr. Jeremy Singer (University of Michigan – Flint) in part on a research
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system: CV Cover letter (please include description of research agenda) Writing sample (25 pages maximum) Contact information for three references Teaching portfolio (20 pages maximum that includes a
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. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research. Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis
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, implementation and modification of the University budget by compiling data and performing complex analysis and interpretation of fiscal data for budget control and forecasting purposes. Essential Job Functions
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updates as requested. · Collaborate with Research Team: Work with researchers to translate study designs into practical data collection plans, including sampling, recruitment, and incentive
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preparation, development, implementation and modification of the University budget by compiling data and performing complex analysis and interpretation of fiscal data for budget control and forecasting purposes
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outcomes data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated
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timely submission of assigned reports. Coordinates and collaborates with professionals from other offices to improve data quality, and address research questions to support university decision making