99 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"U" "https:" "https:" "https:" "https:" "https:" "https:" positions at The University of Chicago
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Department BSD HGD - Unassigned Lab About the Department The newly established Chen Lab (https://siwei-lab.org/) is based in the Department of Human Genetics at the University of Chicago. Our
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responsibility for the following non-laboratory duties: transcribing and coding data; developing data collection instruments; presenting research; and recruiting and scheduling research subjects. Acquires higher
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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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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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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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program. Maintain current knowledge of chemical safety regulations, codes, standards, and procedures through publications, training, and continuing education. Provide feedback to team members, laboratory
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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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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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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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, 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