Statistical Sciences (Statistics and Biostatistics): robustness, theory (& applications) of statistical distances, mixture models, model assessment, classification & clustering, machine learning, kernel methods, foundation of "big data" analysis. Interdisciplinary: text mining, biomedical informatics, safety of medical products, data science methods, comparative effectiveness.
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