118 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at The University of Chicago
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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tuning. Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth
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responsible for teaching six courses over the academic year in introductory programming, algorithms, machine learning, or systems depending on the candidates’ qualifications and programmatic need. In
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Microeconomics.. Qualifications We invite applications from those who hold a PhD (or equivalent) in the relevant field(s) or expect to complete the requirements for a PhD in the relevant field(s) by July 1, 2026
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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while
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at the MBA level. We invite applications from those who hold a PhD (or equivalent) in Operations Management, Operations Research, Management Science, or Industrial Engineering or expect to complete
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, all broadly defined. We invite applications from those who hold a PhD in the relevant field(s) by July 1, 2026 or soon thereafter (we require all tenure track faculty to have a PhD or equivalent). (We
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creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences). Applies basic application of computational tools and
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running