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, such as records of multiple or intermediate causes of death and linked patient or diagnosis data, to study patterns in cause co-occurrence across death and disease. These shared data sources connect
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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manner suitable for publication. Skills in project management. Excellent time management and organizational skills. Demonstrated skill in prioritizing multiple responsibilities and tasks. Ability to work
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DNA nanoparticles for biomedical imaging and therapeutic delivery. The research assistant will lead multiple funded projects focused on nanoparticle sequence design, structural optimization, and
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multiple affiliations. Postdoctoral Associate – Biostatistics Duke University is seeking a successful postdoctoral associate in the Department of Biostatistics and Bioinformatics (www.biostat.duke.edu). Duke
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environments and inaccurate prior maps, to name a few. In order to cope with these challenges different methods will be developed. Knowledge of Bayesian methods for sensor data fusion, mapping and multiple
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. The ability to work independently, manage multiple tasks, and communicate findings clearly is essential. About the Project: Novel GM interventions for mosquito control could represent a step change in
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multiple statistical and modelling approaches, including Bayesian approaches. About the Department Ecology, Evolution, and Behavior (EEB) faculty teach undergraduate classes, advise graduate students, and
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(e.g., REDCap). Conducts complex statistical analyses on observational studies and clinical trials, applying techniques including regression models, multiple imputation, nonparametric methods, Bayesian