100 data-"https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Duke University
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animals. Manuscript preparation. Data analysis Maintain accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Follow standards of responsible conduct in
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to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental seminars, and will have opportunities
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. Postdoctoral Associate Surana Lab / Pediatric Infectious Diseases Responsibilities/Duties: ·Collect, analyze, and interpret data ·Manage and coordinate activities of projects ·Maintain liaison with investigators
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. Generate viral vector preps packaging different transgene cassettes and carry out experiments involving biodistribution assays in vivo. Carry out data analysis, write manuscripts and participate in
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pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and NASA’s Roman Space Telescope. Appointment will initially be made initially for two (2) years, renewable upon mutual agreement
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· Manage and care for laboratory mouse colonies, including breeding, genotyping, and experimental procedures. Data Management & Scientific Writing · Maintain organized and complete electronic laboratory
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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Description: (PhD required) · Conduct critical experiments and data analysis of federal-funded ongoing AMD research including, but not limited to, Immunohistochemistry/immunofluorescence on human and animal
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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responsible for: 1) designing and conducting laboratory work using molecular biology and functional genomic approaches, 2) analysis of new and previously published data, and 3) preparation of results