52 density-functional-theory-molecular-dynamics Postdoctoral positions at University of Washington
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to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional genomics, and tissue models, we aim to advance
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in immunology and/or cell biology/molecular biology. Previous experience with analysis of immune cells, use of pre-clinical GVHD models, and/or lentiviral transduction/CRISPR will be considered
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applicants for these positions will be expected to work well as both a leader and a follower in a team environment and demonstrate the ability to work diligently and independently toward tangible, hypothesis
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Position Summary The Krais Lab is seeking a postdoctoral researcher to work on DNA damage response and cancer biology projects. Current projects investigate how cells navigate a complex signaling
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technologies in genomics and computational biology to investigate the development and function of mammalian brains in the context of human health and disease. Current areas of interest include applying single
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understanding of epigenetic and transcriptional regulation of gut epithelial cell differentiation. This postdoctoral researcher will combine wet-lab molecular biology methods, dry-lab bioinformatic analysis, and
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Position Summary Research is aimed at understanding the pathogenesis of blood cancers, with a focus on myeloproliferative neoplasms. Experimental approaches involve mouse modeling, in vitro work in
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. Techniques include flow cytometry, immune cell transfers, cloning and molecular biology, biochemistry, cell/tissue culture, fluorescence and confocal microscopy, and analysis of RNAseq or other data sets
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processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber photometry, and custom
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to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional genomics, and tissue models, we aim to advance