58 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at The University of Arizona
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Sign In Create Profile Data and AI Researcher II, Department of Biomedical Informatics (College of Medicine - Phoenix) Phoenix, AZ, United States | req26596 Apply Now Share Save Job Posted on: 7/22
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Number req26751 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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Number req26782 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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will contribute to innovative research in theoretical chemistry, advancing our understanding of physical and chemical processes in complex systems. Our research program combines the development of novel
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Number req26922 Department Materials Science & Engr Department Website Link https://engineering.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Biopolymer Materials Group
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the University of Arizona July 1, 2014. He brings an active research program from Harvard Medical School and McLean Hospital, including his Social, Cognitive, and Affective Neuroscience (SCAN) Laboratory. The Lab
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I, Psychology Posting Number req26708 Department Psychology Department Website Link https://psychology.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights The Postdoctoral
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Research Associate I - Department of Pediatrics Posting Number req26696 Department Pediatrics Department Website Link https://surgery.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson
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Research Associate I - III, Sarver Heart Center Posting Number req26948 Department Sarver Heart Center Department Website Link https://heart.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease