114 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at Duke University in United States
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include analyzing clinical and simulated data, developing pulmonary disease models, and manuscript preparation. The position offers opportunities for professional development, mentorship, and collaboration
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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shoreline project and in analyzing data, to assess nursery habitat provisioning, augmented secondary production of valuable fishes and crustaceans, water quality improvements, shoreline protection, and carbon
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks - Executing experimental designs Data
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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complex data, and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In addition to the research responsibilities, the Postdoctoral Researcher will actively
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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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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis