831 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at The University of Chicago
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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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Professor. Collegiate Assistant Professors are members of the College Faculty whose primary professional responsibility is to teach in the general education (Core) program. https://college.uchicago.edu
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uses Interfolio to accept applications: https://apply.interfolio.com/177811 . Applicants must upload a CV including bibliography, cover letter, and research statement. Review of complete applications
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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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offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http
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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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that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu
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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