85 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs at University of Washington in United States
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broadly defined mission that accommodates diverse faculty interests and expertise. At present, OHS enjoys faculty expertise in areas including anatomy, biochemistry, molecular biology, microbiology
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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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to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy, focusing on the actin cytoskeleton’s role
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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
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Position Summary The Lin Lab studies the molecular regulation of endothelial cells in pulmonary vasculopathies. Specifically, we examine how aberrant cellular crosstalk between mesenchymal and
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong quantitative skills Proficiency with statistics
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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