89 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs at University of Washington
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computer simulations, as well as prior work with food and other biomaterials. The application deadline is December 15, 2025. Interested applicants are encouraged to contact Juming Tang (jutang88@uw.edu
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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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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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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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transcriptomics to unravel complex cardiopulmonary vascular diseases. We are seeking highly motivated postdoctoral candidates with preferred prior experience in developmental biology, molecular biology, or
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evolutionary genetics/genomics, molecular laboratory techniques, and field-based research. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . Qualifications Required Qualifications: PhD or foreign equivalent in Biology, Molecular
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) biomaterials, soft lithography, and hydrogel synthesis, and (c) cell culture and molecular cell biology assays. The successful candidate is expected to publish papers in prestigious peer-reviewed journals and
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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