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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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. POSTDOCTORAL ASSOCIATE POSITION The Liu laboratory in the Department of Medicine, Divisions of Cardiology and Neurology is seeking a Postdoctoral Associate to perform research in the fields of aging-related
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under the supervision of a scholar or a department
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical
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willing to undertake multiple projects. Be Bold. Position Description: CASCADE seeks a postdoctoral associate with training and experience in aging, disability, and health systems research. Ideal candidates
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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the School of Medicine. In 2024, Duke University was ranked as the 6th leading research institution in the US, according to the US News and World Report. Position Description: This postdoctoral fellow