675 computer-algorithm-"St"-"Washington-University-in-St"-"St" positions at The University of Chicago
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divisions and colleagues across the Advancement office. They are responsible for executing the University’s regional advancement program strategies, aiming to build a robust and sustainable donor pipeline
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; creating purchase orders; and administering the credit card program, travel services, and other specialized campus programs. Job Summary Under signature authorization for prescribed purchasing commitments
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Education: Bachelor’s or master's degree in computer science, information technology, business administration, or a related field. Experience: Fifteen (15) + years leading enterprise‑scale administrative
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. This is an exciting opportunity to be a member of our growing neurosurgical program as we welcome our inaugural Chair, Dr. Mohamad Bydon. The appointee will provide clinical care in the inpatient and
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the Admissions team, including support for Summer Session programming, Small Town and Rural Students Network, and the Advanced Scholars Program, among others. As with all Admissions staff, this role may include
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. Appointees will possess the vision and expertise necessary to integrate cutting-edge diagnostic/clinical service with an innovative program in research and education. They will be involved in sign-out of a
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activities of faculty, instructors, and students working with images across the Division of the Arts and Humanities. The VRC maintains a digital collections program that responds to emerging teaching and
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outstanding donor stewardship and events. The University’s Donor Relations and Stewardship program is committed to providing exemplary stewardship and engagement experiences, which enhance relationships with
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sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials
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Qualifications Education: Ph.D. in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field. Experience: Experience in either: Large-scale genomics data analysis