64 phd-mathematical-modelling-population-modelling Postdoctoral positions at Duke University
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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keratinocyte differentiation and cancer biology utilizing cultured cells and animal models of skin diseases. Responsibilities include: Development of new and implementation and modification of existing
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basic research and animal models, preferably rodents. The ideal candidate will have a strong background and experience in the field of neuroscience and behavior in rodent models, such as social behavior
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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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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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Postdoctoral position at Duke University is available to conduct research on chronic pain. Using a combination of animal models, behavioral tests, imaging, patch-clamp, neuroanatomy, genetic, molecular biology
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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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-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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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
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models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel