328 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at The University of Chicago in United States
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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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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 to the Office of Alumni Relations and Development
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matter experts to maintain cutting-edge, world class curriculum and instruction, including identifying instructors, subject matter and learning opportunities for PLA. Analyzes, plans, organizes, directs
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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
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Humanities Division. The Department’s distinguished faculty offer cutting-edge interdisciplinary perspectives on the Middle East. We teach more than twenty ancient and modern languages, as well as archaeology
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development and learning programs to empower staff to excel in their roles and contribute meaningfully to Advancement’s goals. By fostering a culture of inclusivity, collaboration, and accountability
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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
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, PostGIS, Solr, and ElasticSearch. ArcGIS, QGIS, Leaflet, and D3.js. REST APIs. Apache. Docker. HTML, CSS, XML, XSLT, TEI, and IIIF. Experience with and willingness to explore AI and machine learning