781 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at The University of Chicago in United States
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functionality. Periodically addresses and troubleshoots various other types of technology, including PC and Mac computers, monitors, printers, scanners, installed software, and the occasional smartphone
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, and adaptable. In close collaboration with stakeholders across Advancement and the broader University, Advancement Technology translates program strategies into innovative, integrated solutions
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Department BSD HGD - Unassigned Lab About the Department The newly established Chen Lab (https://siwei-lab.org/) is based in the Department of Human Genetics at the University of Chicago. Our
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well as the technology tools available to the Office of Advancement, including Phoenix, the University’s alumni and donor database of record, Proficient with Zoom. Proficient in a Microsoft Windows computer environment
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of Illinois --- Preferred Qualifications Education: Advanced nursing degree from an accredited school/college of nursing. Completion of an accredited Physician Assistant educational program accredited by
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Department PME ChemMatCARS About the Department NSF’s ChemMatCARS, affiliated with the Pritzker School of Molecular Engineering (PME), the University of Chicago and funded by NSF, is a national user
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The University of Chicago Academic Jobs Part-Time Lecturer in the Mellon Summer Research Training Program The College Position Type: Other Academic Appointee Salary Range: at least $9,193 Chicago
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Description The Divinity School invites applications from current and recent University of Chicago Divinity School doctoral students for a competitive two-year program designed to enhance their pedagogical
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Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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computer science, computer engineering, data science, or similar. Technical Skills or Knowledge: Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras