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have a strong quantitative background in aging, disability and health systems research including experience analyzing complex datasets such as Medicare/Medicaid claims data. The ideal candidate will have
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directly with the PI on applying interdisciplinary neuroscience and electrophysiology techniques toward studying the nervous system of the heart. Qualifications: Education 5 years or less from a PhD or MD
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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Postdoctoral fellow with expertise in Cryo-EM data collection, data processing, generation of cryo-EM
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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pain), with a focus on with a focus on ion channels, neural circuits, and neuromodulation. Candidate must have completed the requirements for the PhD degree or equivalent in Neuroscience related fields
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microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence
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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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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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, opportunities will be available for involvement in translational and clinical research. Job Responsibilities: Maintain accurate laboratory documentation of experiments, including raw experimental data and
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration