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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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. The candidate will be expected to work in a team setting with other research staff and PhD students supporting the Project HOPE 1000 pregnancy cohort. The candidate will be expected to conduct independent
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications
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. The successful applicant will possess a PhD or equivalent doctoral degree in the social sciences, including political science, public policy, political ecology, law, geography or another relevant field with some
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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
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across the Duke research community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal
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responses. The PhD postdoctoral candidate would be a highly motivated immunology trained individual, interested in B cell signaling, B cell activation and B-T cell interaction, and adept at flow cytometry and
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an opening for a Postdoctoral Associate at the Duke University School of Medicine. We are seeking a motivated person to research the mechanisms of, and interventions for, influenza virus disease using high
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an exhaustive list of all responsibilities and duties required of personnel so classified. Required Qualifications at this Level Education/Training PhD in health services research, public health, epidemiology