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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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, architecture, mechanics, and function. The work will involve generating gene-targeted mouse models and characterizing them through histological, biochemical, and molecular analyses. Successful completion
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in the areas of long-term care, whole-person care models, and caregiver support. Minimum Requirements: Eligible candidates should have a doctoral degree (Ph.D. or equivalent) in any of the following
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inhalation exposures. We use in vitro, rodent, and non-rodent models to achieve our study objectives. We will employ various techniques/methods such as ELISA, multiplex MSD panel assays, flow cytometry, bulk
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- and post-operative management and assessment of animals after transplant (micro)surgical procedures. Experience with mouse models of survival surgery is necessary. For appropriately qualified candidates
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experience working with transgenic mouse models, as well as familiarity with cell culture and standard molecular biology techniques such as immunostaining, Western blotting, and qPCR. Additional exposure
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- and post-operative management and assessment of animals after transplant (micro)surgical procedures. Experience with mouse models of survival surgery is necessary. For appropriately qualified candidates
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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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factors associated with successful colonization of Lactobacillus crispatus in the vaginal and urinary microbiome, using biospecimens from an interventional trial. · Humanized Mouse Model of UTI: We use germ