119 computer-science-data-wahrn-hous Postdoctoral positions at University of Washington
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Center for Reproductive Health Sciences (CRepHS). Our lab is focused on overcoming chemotherapy resistance in gynecologic cancers by targeting DNA damage repair mechanisms. We specifically are interested
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consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
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Position Summary An organic synthetic chemistry/radiochemistry Postdoctoral position is available immediately. The potential candidate should be an energetic, highly motivated PhD in organic
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Science 371:1154). The position will involve utilizing human specimens, cell culture models (epithelial and immune cells) and testing hypothesis in mouse models of the disease. Appropriate training in all
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and inhibitors · Immunohistochemistry, immunocytochemistry and confocal microscopy of membrane proteins · Transcriptomics, proteomics, and bioinformatic analysis of omics data · Mass
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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Position Overview School / Campus / College: College of the Environment Organization: Environmental and Forest Sciences Title: Postdoctoral Scholar: Sustainable Polymers Position Details Position
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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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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D