117 software-defined-network-postdoc Postdoctoral positions at University of Washington
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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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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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junior PI, I am committed to providing personalized mentorship and supporting your career development through active guidance, networking, and publication opportunities. Our research integrates
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presentations is highly desirable. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2
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development toward independence. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2
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publication record, and strong background in molecular biology and cell biology. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
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: 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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tumor progression. Specifically, we investigate how transcriptional regulators and gene networks govern immune and brain cell behavior. Our lab uses a broad array of approaches, including flow cytometry
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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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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models