48 algorithm-development-"St"-"St" Postdoctoral positions at The University of Arizona
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programs. For more information about working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop research projects and perform experiments within
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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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, please click here . Duties & Responsibilities Develop and lead an independent research agenda centered on nearby dwarf galaxies and their identification in wide-field imaging surveys; disseminate work
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, and conduct numerical structural geology and tectonics experiments at University of Arizona. The experiments will investigate stress-strain evolution during strike-slip faulting. Experimental results
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Associate position for an accomplished and motivated candidate. Funding is secured by an industry sponsored project with a period of performance up to 2 years. ANBM is actively developing microphysiological
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research experiments under the direction of the principal investigator, Dr. Bibb. Develop, design, and conduct complex research projects. Perform scientific data collections, reductions, and analyses
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xenobiotics. A major thrust of this work is an effort to identify patients at greater risk of developing adverse drug reactions due to altered pharmacokinetics and overall exposure. This work has led
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will assume a lead role in developing stabilized microbubble conjugates for delivery of neurotransmitters and therapeutics for brain imaging and delivery technology. The project will take advantage
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Position Highlights The Department of Environmental Science is seeking applications for a Postdoctoral Research Associate I to develop procedures to induce ripening and spawning of captive Sonoran Sucker
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& Responsibilities Developing automated manufacturability analysis methods for additive and conventional manufacturing processes. Applying machine learning techniques to 3D engineering data (CAD models, meshes, voxels