192 web-developer-university-of-liverpool research jobs at University of Washington in United States
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genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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identify new genes involved in AD etiology. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can be found at https://postdoc.wustl.edu
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/ Hourly The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications
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diseases as part of the Washington University Undiagnosed Diseases Network and other WashU local rare disease projects. This role focuses on working with large genomic datasets to analyze data from whole
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate
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Position Description A team of faculty, William Wilcock, Brad Lipovsky, Marine Denolle and Shima Abadi, in the School of Oceanography and Department of Earth and Space Sciences at the University
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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Technology (SET) at the University of Washington Tacoma (UWT) is seeking to hire a postdoctoral scholar in transportation engineering. This is an interdisciplinary position with an emphasis on (1) emerging
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Advanced Practice (CV APP) Fellowship prepares postgraduate APPs (Physician Assistants and Nurse Practitioners) to utilize evidenced-based practice and develop specialized skills to care for chronic and
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models