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initiative focused on U–Th dating of fossil corals. This position provides an exceptional opportunity to advance coral-based chronologies and enhance our understanding of Quaternary sea-level variability
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(Wash. U. St Louis, UT Southwestern), Italy (Milan, Padova) and locally with INEFC. They will be in charge of the devleopment of the next generation SCOS systems including novel approaches to new sources
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computational mechanics, FEM/Particle methods, time integration and analysis (60%); -help to write quality research proposals to government agencies and industry, prepare/assist in journal research papers/book
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interdisciplinary collaborators. Visa sponsorship available. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction
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alongside a network of interdisciplinary collaborators. Visa sponsorship available. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U
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- Telemedicine (COM-T) Posting Number req24676 Department Arizona Telemedicine Program Department Website Link https://telemedicine.arizona.edu/ Location University of Arizona Health Sciences Address Tucson, AZ
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Research Associate II - Telemedicine (COM-T) Posting Number req24676 Department Arizona Telemedicine Program Department Website Link https://telemedicine.arizona.edu/ Location University of Arizona Health
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Sign In Create Profile Postdoctoral Research Associate (Electrical and Computer Engineering) Tucson, AZ, United States | req24681 Apply Now Share Save Job Posted on: 12/5/2025 Back to Search
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) program. The role offers opportunities for professional development, including leading large-scale analyses with advanced statistical methods and leading manuscript preparation to enhance your research
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Qualifications Ph.D. in Genetics, Computational Biology, Bioinformatics, Agronomy, Horticulture, or related field in genome analyses Demonstrated experience in population genetics using genome-wide SNP datasets