338 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at The University of Chicago in United States
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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
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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
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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
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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
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. 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
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priorities; recognize and resolve or refer problems; work effectively with supervision and as a part of a team; use or learn a range of position-related software applications. Additional Responsibilities
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, 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
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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education advancement. 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 tools available
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dedicated to the development and application of advanced computational techniques to biomedicine, particularly the application of machine learning and statistical inference techniques to high-throughput