51 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at Duke University
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of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). 5. The appointment involves substantially full-time research or scholarship, and may include teaching responsibilities
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of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
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of the Postdoc Policy for length of appointment). The maximum total term of appointments for a Postdoctoral Appointee being 5 years. The appointment involves substantially full-time research or scholarship and may
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sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship and
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differentiation and melanoma and multiple myeloma biology utilizing cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing
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issued to sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research
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that the candidate, if eligible, would apply for a supplement on existing NIH grants. Additionally, there will be opportunities and an expectation for qualified postdocs to apply for a K99/R00, a K01, or other
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Description Post-Doctoral Research Associate in modeling materials effect in Urban Heat Island Job Description: A post-doctoral research position is available at Duke University for a candidate with expertise
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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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system. For the meta-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine