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-profile, independent research in areas of theoretical and computational astrophysics, as well as collaborate with SO faculty and scholars in the Department of Astronomy. The postdoc will be encouraged
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for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities The postdoc will work on a
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workstation equipped with specialized image processing and GIS software packages. Interface with data storage systems to access large-scale planetary datasets. Utilize stereo photogrammetry software tools and
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, Immunoblotting, proteomics and metabolomics, and Immunocytofluorescence, 3D-imaging (micro-CT and light sheet), primary cell isolation and culture, cell energy metabolism with seahorse analysis, flowcytometry
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of an outstanding new facility with capabilities in imaging, flow cytometry, bioinformatics, and other advanced approaches. The position is part of a well-funded research program and will provide the opportunity
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classroom and online environments. Additional experience with curriculum development, including emerging trends in virtual reality instruction, integration with medical imaging diagnostics, and development
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conferred by the start date and 0-3 years of experience at Postdoc rank. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal
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factors involved in pulmonary diseases and injury. Collaborate with physician-scientists, postdocs, and MD-PhD students on translational research projects aimed at identifying potential FDA-approved drug
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-for-service production activities, and direct and in-kind support from the University of Arizona. Regardless of job capacity, each employee is obligated to present a professional and helpful image to those with
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. Experience in cell biology, preferably in gene expression and proteomic assays. Experience in ex-vivo testing, preferably with biological fluids, and cell characterization (microscopic imaging, flow cytometry