14 computer-graphics-postdoc Postdoctoral research jobs at University of Nebraska Medical Center
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Associate to join our lymphoma research program. The successful candidate will work at the interface of cancer biology, functional genomics, and translational research, with a focus on understanding the
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economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen
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/2025 Position Qualification Position Summary The Department of Environmental, Agricultural and Occupational Health (EAOH) and the Water, Climate and Health (WCH) Program in the College of Public Health
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of diversity, and is a major economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000
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a major economic engine for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in
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for the state of Nebraska. Led by Chancellor Jeffrey P. Gold, M.D., UNMC has six colleges, two institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen programs
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adenocarcinoma (PDA) pathogenesis. The murine models of distinct genetic subtypes of pancreas cancer that we have developed form the basis of our integrated, systematic, and multidisciplinary research program. Our
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institutes and a graduate studies program, serving nearly 4,000 students in more than two dozen programs. Our physician assistant program was recently ranked ninth in the nation by U.S. News & World Report
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encouraged. The candidate should also be familiar with basic data analyses and reporting and should be able to assist Principal Investigator (PI) with other aspects of the research program. Required
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing