109 postdoc-computer-science-logic Postdoctoral research jobs at University of Washington
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biochemistry, genomics, molecular genetics, cell biology, and model organism systems to uncover the mechanisms by which histone mutations disrupt human development and lead to disease. Our ultimate goal is to
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are expected to have experience with basic molecular/cell biology techniques, as well as with stem cell and/or animal models of disease. Postdocs in the Arnold lab will be encouraged to develop new technical
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Position Overview School / Campus / College: College of the Environment Organization: Environmental and Forest Sciences Title: Postdoctoral Scholar: Forest Disturbance and Landscape Ecology Position
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Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral researcher with
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(differentiation, homeostasis, homing, etc.); 2) B lymphocyte biology (antibody response, differentiation); 3) macrophage biology. Preferential consideration will be given to candidates with relevant publications in
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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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immunology, molecular biology, genetics, and genomics. Candidates should be motivated to work both independently and collaboratively as part of a team committed to scientific rigor, creativity, and mutual
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and SARS-CoV-2 infection, host mucosal immune responses, and intestinal epithelial cell biology. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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industrial engineering, systems engineering, computer science, electrical engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big