111 coding-"https:"-"FEMTO-ST"-"CSIC"-"Inserm" positions at The University of Chicago
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mentors ServiceNow team members, guiding best practices in agile delivery, code quality, and platform management. Collaborates closely with stakeholders across campus (IT, HR, Finance, Research, etc
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care and preschool locations, public schools, as well as in a laboratory environment. Primary responsibilities are recruitment and scheduling of subjects, data collection, transcription and coding, and
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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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. 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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to priorities and risk. Drives adoption of modern delivery practices (Agile, DevOps, CI/CD, automated testing, and AI-assisted coding) to increase quality, time-to-market, and efficiency. Institutes robust vendor
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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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the opportunity to be part of the vibrant research environment of the Kenneth C. Griffin Department of Economics at The University of Chicago. Responsibilities Develop code to analyze micro data sets
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guidance to design applications to meet University and business requirements. Performs code testing on components and works to ensure that appropriate implementation standards are met. Performs other related
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an emphasis on high-quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem-solving skills, and a keen interest in data-driven applications