57 phd-in-mathematical-modelling-population Postdoctoral positions at Duke University
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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tools, high-throughput screening, and human induced pluripotent stem cells (hiPSCs) to model different cell types, phenotypes, and disorders. We are looking for a highly motivated and talented candidate
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to precisely shift microbiomes to desired metabolic states. Our research combines multiplexed measurements of single cells, populations and ecosystems with concepts from nonlinear dynamical systems, control
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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website. TERM One year, with the possibility of another year extension depending on successful progress. QUALIFICATIONS Applicants should hold a PhD in Earth Science, Environmental Science, or a related
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independent research activities under the guidance of a faculty mentor, Shyni Varghese, PhD, in preparation for a full time academic or research career. The job includes fabrication and characterization
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require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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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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an extension of another year depending on successful progress. QUALIFICATIONS: The applicant should hold a PhD in Earth Science or a related field and have research interests in glaciology. We are particularly
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of the intestines induced by radiation, with a focus on mechanisms of regenerative reprogramming. Complementary approaches will be used, including genetically engineered mouse models, histopathology, mouse and human