110 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at The University of Chicago
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or an equivalent combination of position-related education and experience required. Working knowledge and familiarity with Chicago Building Code requirements relevant to craft, preferred. Technical Knowledge
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for deficiencies, potential safety, health, or code problems and necessary repairs. Prepares written reports summarizing findings, and advises other building users, or others, as appropriate, of their findings, 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
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Booth School of Business, please visit: http://www.chicagobooth.edu/. Job Summary The Senior Associate Director of Market Research leads the development and enhancement of Chicago Booth's market research
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. Supports with the writing of grant and policy reports and assists with drafting presentations of research findings. Takes responsibility for the following non-laboratory duties: transcribing and coding data
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, collaborate with other team members, code analytics solutions and reports, maintain existing dashboards and reports, and support the portfolio of data products provided by the UCCCC Analytics team. In
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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
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problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met. Utilizes technical knowledge of existing and
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programs. Receives a moderate level of guidance to design applications to meet University and business requirements. Performs code testing on components and works to ensure that appropriate implementation
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https