13 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Duke University
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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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, 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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) and HIV-1 infection dynamics in human lymphoid tissue. New mathematical models will be informed by longitudinal experimental data, including multiplexed spatial proteomics, transcriptomics, collected
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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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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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, including animal surgery, simulations, and theoretical investigations; analyze data; and disseminate research findings. Participate and observe clinical activities, including clinical visits, rounds, meetings
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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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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