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perturbations, including changes in gene expression, enzyme activities, cellular phenotypes, and metabolite production; and 3) performing statistical analyses of human clinical and/or omics data to evaluate human
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including
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