10 professor-computer-"https:"-"https:"-"https:" research jobs at The University of Arizona
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Associate I, Information Science Posting Number req25315 Department Information Science Department Website Link https://infosci.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights
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Number req24887 Department Ctr BiomedInfo Biostat Department Website Link https://cb2.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The Center for Biomedical Informatics and
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, and contribute to a growing research program aimed at rethinking how plant–microbiome interactions can support resilient agriculture in a changing climate. Outstanding U of A benefits include health
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Daniel J. Taylor, Ph. D, Professor, at DanielJTaylor@arizona.edu. Open Date 2/20/2026 Open Until Filled Yes Documents Needed to Apply Curriculum Vitae (CV) Special Instructions to Applicant Finalist will
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
applicant with demonstrated experience with advanced statistical methods, including a focus on causal inference, bioinformatics and computation (more broadly), or other cutting-edge analytic tools
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Highlights The Clinical Research Assistant will assist in an ongoing, CDC funded, research project that focuses on the development, testing, and implementation of a self-management program known as MINDSET
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Research Assistant will assist in an ongoing, CDC funded, research project that focuses on the development, testing, and implementation of a self-management program known as MINDSET, aimed at improving
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review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC1 Job Family Content Development Job Function Communications & Marketing Type of criminal background
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its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level OC3 Job Family Clinical Research
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networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches. The ideal