426 machine-learning-"https:" "https:" "https:" positions at The University of Chicago
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
research program in any area of basic and/or translational research in neuro-oncology. Appointees will be based on the University of Chicago’s Hyde Park campus. Appointees will teach at the undergraduate
-
business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning
-
Department UCP Professional Development Program Instructors About the Department Innovative, career-driven learning experiences define UChicago Professional. In our commitment to spread
-
technologies, and cloud platforms. Support researchers’ use of AI and machine learning tools, including AI coding assistants and agents (e.g., Claude Code), model APIs (e.g., Anthropic, OpenAI), and open-weight
-
experience in research incorporating Artificial Intelligence, Machine Learning or Quantum technologies are especially encouraged to apply. To be considered, those interested must apply through the University
-
, and a willingness to learn by doing are what will make you successful here. If that sounds like the environment where you do your best work, we would love to hear from you! Responsibilities Manage the
-
Centers play a formative role in the Campus and Student Life goal of creating a comprehensive and integrated network of services that support the academic mission and facilitate student learning, engagement
-
discretion. Strong attention to detail, including close reading and editing. Ability to learn and adapt to computer software and applications required. Familiarity with Microsoft Office Suite, particularly
-
and University, and teach in both the undergraduate and graduate curriculum. The teaching load for tenure-track positions is typically four courses per year on the quarter system, including in
-
, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https