73 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs at University of Washington in United States
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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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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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Position Summary The Crewe lab uses a combination of mouse models, biochemistry, physiology, and cellular imaging, to study the regulation of extracellular vesicle (EV) production and how EVs signal
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: Bioinformatics, Flow Cytometry, Immunology, Mammalian Cell Culture, Molecular Biology, Mouse Models, Sample Analysis Questions For frequently asked questions about the application process, please refer to our
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Labor Relations website . Qualifications Required Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic
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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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Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics
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accumulation. The lab seeks to understand the structural-property relationship in polymers through molecular engineering, structural engineering, and advanced characterization across scales. With these insights
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life on planetary environments