328 machine-learning-"https:" "https:" "https:" "https:" "https:" uni jobs at The University of Chicago
Sort by
Refine Your Search
-
to perform multiple tasks simultaneously. Excellent time management and ability to prioritize work assignments. Ability to train or teach others. Working knowledge of Good Clinical Practices (GCP). Application
-
. Problem-solving skills. Analytical skills. Attention to detail. Organizational skills. Ability to learn new research techniques or methods. Ability to work independently and as part of a team. Knowledge of
-
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 environment. Chicago Booth is proud
-
Department BSD SUR - OHNS: Thirty Million Words - Communications About the Department The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements
-
-related activities. The role bridges technical proficiency and educational support, fostering an inclusive, well-resourced environment for learning and creativity. Part-time, benefits-eligible | 20 hours
-
diagnose patient disease and medical conditions using state-of-the-art methodologies. We invite you to browse our website to learn more about our rich offerings of clinical services, education, and research
-
responsive engagement. Technical Skills or Knowledge: Knowledge of TCOM framework and tools strongly preferred. Bilingual English/Spanish. Proficiency in Microsoft Office 365, learning management systems (LMS
-
of experience developing and monitoring budgets. Technical Skills or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology
-
. Proofreads, edits, and formats documents for faculty, including scholarly articles and correspondence as requested. Supports faculty with Canvas, the Law School’s learning management system, and assists them
-
, Kubernetes, etc.), and familiarity with HPC environments. Experience with geospatial libraries (GDAL/OGR, OTB, GeoPandas, PySTAC, etc.) and machine learning frameworks(Scikit Learn, Keras/TF, PyTorch, etc