31 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at The University of Arizona
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Number req25277 Department School of Plant Sciences-Res Department Website Link School of Plant Sciences Location Tucson Campus Address 1140 E. South Campus Drive, Tucson, AZ 85721 USA Position Highlights
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req24925 Department Public Hlth Prac & Trans Rsch Department Website Link www.publichealth.arizona.edu Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The Clinical
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the science and history of space exploration. In this role, the Researcher will develop, write, and refine engaging educational content that is both accessible to visitors and scientifically accurate
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multimodal data (e.g., self‑reports, structured clinical interviews, sleep). Skill in written and oral communication. Ability to work effectively in a highly collaborative environment. Ability to work
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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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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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thyroid hormones in metabolic disease such as diabetes and fatty liver disease. The ideal candidate will have a solid background in biology with a strong publication record. Prior experience in either
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here . Duties & Responsibilities Breeds and maintains genetic mouse lines. Perform aspects related to cellular and molecular biology research that include, but are not limited to: bulk RNA-sequencing
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within the Department and with other units across the University. Utilize molecular biology, biochemical techniques and high resolution imaging and perform in vitro functional analyses. Perform small
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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