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southern Africa. Familiarity with methods for collection and analysis of common disease survey and surveillance data, especially HIV. Experience using modern Bayesian computing and probabilistic modelling
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immunology or tumor immunology under a sponsor with a formal appointment (assistant professor or higher) at a nonprofit institution; must have ≤5 years of relevant postdoctoral experience (excluding MD
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epidemiology, transmission dynamics, and programmes in eastern and southern Africa. Familiarity with methods for collection and analysis of common disease survey and surveillance data, especially HIV. Experience
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seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
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of an acquired immune response. We welcome applications from PhD graduates who are interested in this or a related field, particularly those who may bring a new technology, and/or advanced microscopy skills and/or
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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of diverse measurement methods for detecting airborne infectious disease threats. A critical aspect of your role will be ensuring robust, sensitive sensor performance with real-world samples, and effectively
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regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented
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proteins important in human health and disease, including G protein-coupled receptors and other transmembrane proteins. We welcome applications from recent PhD graduates who are interested in
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/research. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab