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individuals’ responses after multiple exposures and inferring correlates of protection, (c) developing methods to measure vaccine effectiveness in different populations, and (d) predicting pathogen dynamics
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external sources. Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and
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salary Chicago, IL Aug 3, 2025 Description The University of Chicago Booth School of Business invites applications for tenure-track positions at the assistant or associate professor levels in Operations
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statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Analyzes moderately complex data sets for the purpose of extracting and
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activities for the Department of English. Tracks and analyzes data related to students, alumni, funding, and peer programs; supports internal and external program reviews. Oversees office operations, supplies
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faculty reviews, searches, and annual reporting processes, as well as supporting MFA admissions and alumni data tracking. Responsibilities Provides administrative and operational support to DoVa leadership
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statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related
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and statistical inference. Provide expertise for high level or complex data-related requests and engage other IT resources as needed. Partner with other campus teams to assist faculty with data science
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the University's various internal data systems as well as from external sources. Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference
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learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data