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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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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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manuscript preparation and contribute to the dissemination of research findings Collaborate with interdisciplinary and international team members A PhD in Economics, Public Policy, Data Science, or a related
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of research findings Collaborate with interdisciplinary and international team members Required Qualifications* A PhD in Economics, Public Policy, Data Science, or a related quantitative social science
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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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-inflammatory cytokine Macrophage Migration Inhibitory Factor (MIF), and investigating the effects of bile acid metabolites on CDI pathogenesis. The ideal candidate will hold a doctoral degree (PhD or MD) and
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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
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for Postdoctoral Research Associates interested in research related to high-contrast-imaging, high-angular-resolution, and interferometric observations with the Large Binocular Telescope (LBT). As a Postdoctoral
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: The core of this research lies in understanding knowledge work systems—how knowledge is produced, shared, and applied across complex domains. Using large-scale data from scientific articles, patents, grants