88 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"U" positions at The University of Chicago
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, analysis and modeling in order to support projects. The Sr. Data Analyst supports the organization’s data and analytics work by collecting, analyzing, and interpreting data to inform decision-making, program
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interpreting data to inform decision-making, program improvement, and research. This role helps ensure that data is accurate, accessible, and actionable for staff, partners, and stakeholders. Responsibilities
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(open rank) for the 2026-2027 academic year to teach at least one foundational, core, or elective course for the MS in Applied Data Science program. For a detailed list of courses and course descriptions
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OR Statistical/AI/ML method development applied to biological data. Proficiency in programming languages and working with high-performance or cloud computing environments. Practical experience with sequencing
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-year field research in Connecticut infant and toddler child care settings. The research will use a novel technology to support teachers and demonstrate how teachers’ language inputs in birth-to-3 child
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, or other program-specific duties. Instructional Professors of all ranks are required to engage in regular professional development. Salary Range or Pay Grade: Assistant Instructional Professor: $75,676
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specialty research involving technologies, among others.The position supports the organization’s data and analytics work by collecting, analyzing, and interpreting data to inform decision-making, program
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The Business Intelligence & Analytics Sr. Analyst works as part of the UCCCC Analytics team, providing analytics and informatics support for all Cancer Clinical Trials Support Office (CTSO) activities
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students. Possible courses include but are not limited to: programming, statistics, data management, data publication, and the use of large language models in the Humanities and qualitative Social Sciences
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. Certifications: --- Preferred Qualifications Education: Advanced degree in a related field, including law, computer science, data science, social science, or public policy. Experience: Experience working with a