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. This individual will also assist in developing the infrastructure, tools, and collaborations needed to integrate genomic, transcriptomic, imaging, and clinical data in ways that advance precision veterinary
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on an interim basis not to exceed 6 months. Preferred Qualifications Previous experience in experimental physics, as evidenced by application materials. Previous experience in analysis of large complex data sets
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Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F VP Area U of U Health - Academics Department 00269 - Orthopedic Surgery Operations Location Campus City Salt
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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include
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for the employee and qualified family members; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information
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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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that directly relate to this position. Additionally, your application must include: A writing sample Contact information for at least three references We will start reviewing applications January 30, 2026. We
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the position and outline skills and experience that directly relate to this position. Additionally, your application must include: A writing sample Contact information for at least three references We will start
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rodents, and rodent surgeries. They will participate in project conception, data acquisition, analyses and dissemination of work including conference presentations and manuscript publication. They will also
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researchers in population multi-omics, particularly in the domain of cardiometabolic diseases. Part of this position will involve working with Dr. Pankow and Dr. Peterson on analyses and manuscripts using data