820 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "https:" "FEMTO ST" positions at The University of Chicago
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for this position as required by law, changes in the law or other regulatory agency requirements, required. Technical Knowledge or Skills: Familiarity with Chicago electrical code requirements, preferred. Job-related
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information visit https://financialaid.uchicago.edu/. Job Summary The Financial Aid Assistant Director reports directly to the Office of Financial Aid Management and performs an integral role in providing
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full-stack development. Write clean, maintainable, and well-tested code across multiple systems. Participate in code reviews, technical design sessions, and cross-functional collaboration with product
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to accept applications: https://apply.interfolio.com/176692 . Applicants must upload a CV and cover letter. Review of applications will begin after December 20, 2025. For instructions on the Interfolio
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Interfolio to accept applications: https://apply.interfolio.com/178379 . Applicants must upload a CV including bibliography and cover letter. Review of applications ends when the positions are filled
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applicable City of Chicago codes, industry standards and occupant need. Able to categorize and prioritize work activities. Able to develop and implement solutions to varied problems. Complete numerous
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email messages and campaigns using delivered system functionality and HTML, CSS, Liquid Markup coding as necessary. Tests system functionality and performs quality assurance. Trains end users in system
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our programs further at https://biochem.uchicago.edu/. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor
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reconciliation. Manages purpose code and labor expense allocations and ensures proper cost attribution. Reviews and manages extra service pay submissions and identifies cost-saving opportunities. Develops and
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-informed practices. Develop and code data dictionaries for discrete data. Write, implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with