87 high-performance-computing Postdoctoral positions at Stanford University in Ireland-University-Ranking-2024
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appreciate every application, the high volume of interest means we can only follow up with those whose backgrounds match our current project needs. If you haven't heard back within two weeks, thank you
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intellectual perspectives these backgrounds bring. Prof. Lynette Cegelski is Professor of Chemistry and, by courtesy, of Chemical Engineering at Stanford and is affiliated with the Stanford Biophysics Program
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computational biology and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using
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computational analysis of large-scale pharmacogenomic datasets. The lab maintains active collaborations with medicinal chemists, structural biologists, and clinical oncologists at Stanford and elsewhere
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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active
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to advance the understanding of IBD pathogenesis Perform ex vivo and in vitro studies using human intestinal tissue and peripheral blood-derived epithelial and immune cells from IBD patient and controls
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on innovative, cross-national, and highly collaborative research projects involving teams across the U.S. and multiple continents · An opportunities to contribute to high-impact publications, grant proposals, and
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-omics discovery. The fellow will help develop and apply computational approaches to study heart failure mechanisms and therapeutic targets using large-scale human datasets, including cardiovascular
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of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows into independent research careers; many have achieved their own NIH K/R grants and
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage