953 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at The University of Chicago
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Department PSD Computer Science: Administration About the Department The Department of Computer Science is an academic department that has a rich history of advancing and defining new fields
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information regarding program efforts. Provides scheduling and administrative support for development and HR programs/events throughout the year. Completes special projects related to HRIS systems and databases
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processes. A strong commitment to data quality, user support, and innovation is essential to the role’s success. Responsibilities Provides program leadership for the Analytics and Data Science teams including
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of the Chicago Schools in Sociology and Economics, the path-breaking impact of the first graduate international affairs program in the U.S., the creation of interdisciplinary programs in the Department
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statistics generation in our neuro informatics laboratory. Produces quarterly outcomes reports for multiple registries using Python. Analyzes moderately complex data sets for the purpose of extracting and
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Summary The Program Coordinator for NICU Research and SET Center manages the day-to-day operation and administration of Research in the Neonatology Section, and in the Center for the Science of Early
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employment, qualified applicants must: 1) hold a PhD, MD, MD/PhD, or equivalent degree(s), in Bioengineering, informatics, Neuroscience, or a related field, 2) have completed postdoctoral training. To be
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Department PME Pritzker School of Molecular Engineering About the Department The Pritzker School of Molecular Engineering (PME) was established in May 2019 and evolved from the Institute
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in Accounting beginning in the 2026-27 academic year. Qualifications We invite applications from those who hold a PhD (or equivalent) in the relevant field(s) or expect to complete the requirements
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biology and genomics, bioinformatics and computational biology. Job Summary The Zhou lab is seeking a Staff Scientist to lead the development and application of AI approaches for accelerating and automating