52 structural-engineering "https:" "https:" "https:" "https:" "https:" uni jobs at The University of Chicago in United States
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Department BSD CTD - Engineering - Plan X About the Department The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop
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://stats.gen3.org/, and https://ctds.uchicago.edu/. Job Information Senior Software Engineer for various and unanticipated worksites throughout the U.S. (Chicago, IL). Responsible for technical tasks and timely
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& Development will supervise engineers, developers, and other team members working on product. This person will also perform other related work as needed, including supporting The Bike Shop leadership with
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. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and
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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://www.chicagobooth.edu/. Job Summary
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engagement goals with the mandate to oversee enabling infrastructure of the University including the built environment, technology, and human resources organizations. In support of faculty, students, and staff
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construction cost estimates. Value engineering. Reconciling construction costs estimates. Review of contractor’s bids. Review and negotiate all additional services requests. Review and approve A/E and
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Department PME Quantum Engineering About the Department The Pritzker School of Molecular Engineering (PME; https://pme.uchicago.edu/) was established in May 2019 and evolved from the Institute
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. Support dietetic internship partnerships with participating universities. Keep well-informed and current on new concepts, practices, and trends in food service technology as they relate to institutions
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performance, reliability, and scalability. Partner with engineers to modernize pipelines using automation, cloud-native patterns, and best practices in data engineering. Ensure strong data quality, validation