108 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL"-"U.S"-"PhD-Jobs" positions at The University of Chicago
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the Lab. Predocs will gain research and coding skills through direct mentorship in the Lab, as well as acquiring specific domain knowledge in Census and geospatial data, systems of election, and effective
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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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provisioning, and cost monitoring. Establishes testing frameworks and code-quality practices for shared research software with rigorous validation of psychometric algorithms and adaptive-testing logic
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at the discretion of the Directors. More information about the Forum for Free Inquiry and Expression can be found at this link: https://thechicagoforum.uchicago.edu Responsibilities Oversee daily building operations
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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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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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-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
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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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resolution and prevention. Provides AR follow-up expertise to other UCPG and UCM business units as needed. Works closely with the Coding Education team to suggest opportunities for coder and provider training
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to apply data insights to projects. Ensure data quality, security, and integrity across systems. Contribute to cross-team initiatives by embedding data-informed practices. Develop and code data dictionaries