37 algorithm-development-"Prof"-"Prof" Postdoctoral positions at University of Washington
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researchers in Chemistry, Materials Science, Data Science, and Chemical Engineering. We prioritize career and professional development for postdoctoral researchers. In addition to one-on-one mentorship
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professionals works collaboratively to develop guidance for application of the CARE Principles for Indigenous Data Governance in research data services (RDS). Launched in 2021 with funding from the Andrew W
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Position Summary The labs of Dr. Michael Meers and Dr. Michael White are seeking to fill a position as a joint postdoctoral fellow in the Department of Genetics. The fellow will develop a
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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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dedicated to professional and career development. Preferred Qualifications: Ph.D. in Microbiology, Cell biology, Biochemistry or other related discipline. Extensive expertise in mammalian cell culture and
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Position Summary The Meers Lab is seeking out a Postdoctoral Researcher to lead projects that advance single-cell and single-molecule epigenome profiling technology development in service
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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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at WashU School of Medicine in St. Louis. The Klechevsky lab is dedicated to understanding how dendritic cells and other myeloid cells influence the development of immunity and cancer. Our broad and
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environment to develop and foster independent careers. Successful candidates will have the opportunity to use novel mouse models and cutting-edge multi-omics approaches to understand molecular mechanisms with
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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