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develop research. Extraction of Patient Reported Outcome Measures. • Collaboration with the PhDs at the laboratory, division, department, and University. Development of data-sharing agreements and
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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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to biomedical research, particularly in immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement
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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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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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neuroinflammation and neurovascular interactions using mouse models and micro physiological systems. Some of these scientific questions span into characterizing molecular changes in the blood-brain barrier, glia
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of biomolecular interactions using Biolayer Interferometry or surface plasmon resonance, structural determination using single particle cryo-EM analysis and atomic model building is required. Deep knowledge and
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to identify novel biomarkers and gain a better understanding of mechanisms underlying these inflammatory diseases. All candidates should have a strong interest in population or clinical research, be able
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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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, architecture, mechanics, and function. The work will involve generating gene-targeted mouse models and characterizing them through histological, biochemical, and molecular analyses. Successful completion