95 algorithm-development-"Newcastle-University"-"Newcastle-University" Postdoctoral positions at University of Washington
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the roles of KRAS pathway inhibition and inflammatory pathways mediated by TNF, TGF-β, and the IL-1R/TLR axis. The overarching goal of our research is to develop novel therapeutic regimens that can be
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opening for a motivated postdoctoral researcher to join an NIH-funded project investigating brain and behavioral development in early childhood. This longitudinal study focuses on auditory processing and
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including COPD and lung fibrosis, and 3) developing novel approaches for lung specific targeting on lung diseases. Our recent publications include influential articles in Circulation (2016), AJRCCM (2018;2018
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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part of a NCI-funded research program to advance precision oncology. What We Offer: * Access to state-of-the-art preclinical and clinical imaging facilities. * Mentorship and professional development
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, please visit the University of Washington Labor Relations website. The Postdoctoral Scholar will be a contributing member of the Chi Lab at UWSOD to help carry out funded research, develop new clinical
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, please visit the University of Washington Labor Relations website. The Postdoctoral Scholar will be a contributing member of the Chi Lab at UWSOD to help carry out funded research, develop new clinical
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) injury in livers. Specifically, the Kim lab investigates the mechanisms behind steatosis-mediated increase in hepatic I/R injury to develop novel therapeutic strategies to improve liver function after
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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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, 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