36 assistant-professor-computer-science Postdoctoral positions at University of Nebraska Medical Center
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of our integrated, systematic, and multidisciplinary research program. Our efforts are directed at identifying and overcoming stromal barriers to treatment (including elevated interstitial pressures
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immunology and molecular biology techniques. Preferred experiences are with mouse models of kidney injury and microsurgical skills in particular. Successful applicant’s work will include investigation
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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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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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therapeutic strategies to improve developmental outcomes. The position provides a unique opportunity to work at the interface of neurodevelopmental biology, pharmacology, toxicology, and HIV-1-linked virology
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Position Qualification Position Summary Developing and carrying out one research project; performing advanced OMFS on College of Dentistry patients; assisting faculty in the operating room; helping supervise
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to advance scientific discovery and improve health outcomes through innovative research. Required Qualifications Ph.D. in biological sciences, biochemistry, immunology, pharmacology, physiology, or pathology
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aspects of the diseases. A self-starter with strong interest in understanding virological/immunological aspects of the HIV/SIV and other emerging/chronic viruses is preferred. Required Qualifications Ph.D
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induced neuropathology and develop strategies for viral eradication from central nervous system using a novel mouse model. Experience in HIV-1 biology and disease pathogenesis is helpful but not mandatory
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expertise in bioinformatics, coding languages, and statistical analysis tools. • A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and communities