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policymaking, evidence matters. We work at the frontiers of data collection and analysis, using the latest technology and social science methods to design policies that work for society. We conduct rigorous
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to educational equity and believes that data and research play a critical role in informing systemic change. They have a proven track record of leading teams through large educational data analysis projects
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team and for independent funding. Thus, we welcome applicants with experience in large volume serial electron microscopy (connectomics), synchrotron source X-ray imaging of brains in health and disease
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primates to understand the neuronal mechanisms underlying visual attention. The position entails collecting and analyzing large datasets, writing manuscripts, and applying for grants both as a member of the
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Develops and enhances climate and impact research tools. Manages and optimizes petabyte-scale data storage systems. Collaborates with researchers for new analyses with large datasets. Trains research
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Department PSD Data Science Staff About the Department The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling
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, is recruiting a full-time research assistant to begin in July, 2025. Their labs study decision-making in social contexts. Example topics include but not limited to social representation, large-scale
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analysis. Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various
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laboratory experience. Strong scientific data analysis and presentation skills. Strong knowledge of next generation sequencing methodology and data analysis. Prior experience working with large-scale datasets
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, implement, and maintain AI/ML pipelines in support of ongoing research projects. Analyze large-scale data (e.g., digital pathology slides) using standard AI/ML libraries (e.g., PyTorch, TensorFlow