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sources. Conduct analyses using statistical and computational methods. Develop data visualizations, dashboards, and reports to share findings. Collaborate with program, training, and operations teams
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team to integrate community perspectives into curriculum and training development. Support the planning and execution of organizational events, conferences, and campaigns. Develop and maintain practices
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wave of genomic and biomedical discovery. We are seeking outstanding researchers to contribute to the development and application of advanced statistical and AI/ML methods for analyzing large-scale
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international affairs program in the U.S., the creation of interdisciplinary programs in the Department of Comparative Human Development and the John U. Nef Committee on Social Thought, or many other pivotal
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-event planning analysis for purposes of continuous improvement, leveraging data and feedback to inform future event strategies. Serves as the Advancement events leader on developing and maintaining event
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, policy, and leadership development. The inaugural cohort will launch in Summer 2026. Reporting to the Program Director, the Assistant Director will provide critical programmatic, operational, and
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epidemiology, microbiome, and epigenomics, the Institute will have the common goal of improving human health outcomes. Another major goal of the Institute will be to develop a new multidisciplinary training
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Department PSD Data Science: Research Staff About the Department The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data
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, including training, analytics integration, and curriculum development. Provides specialized professional expertise in program management. Implements plans for educational programs and initiatives and acts as
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of Chicago regionally and provide information on university developments and programs relative to constituent’s interests, and proactively share information about opportunities to attend events, volunteer