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drivers and underpinnings of secondarily aquatic transformations in amniotes and their terrestrial ancestors, ideally from a postcranial lens. Project Tasks include: 1) Comparative Morphology and Machine
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, Python, R, or comparable platforms). Solid background in signal processing, statistics, time-series analysis, network science, or computational neuroscience. Excellent written, verbal and computer skills
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evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary analysis by the comparison of protein structures, conduct rigorous evaluations of the concordance
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the position start date Applicants in All But Degree Status will be considered for interviews. Strong quantitative and epidemiologic training Experience conducting statistical analyses in R or a comparable
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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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pharmacoepidemiology and related fields, including traditional medical product safety studies, comparative effectiveness research, pharmacoepidemiologic methods, clinical epidemiology, and health services research
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studies focused on patient outcomes, burden of illness, clinical and health economics, and policy relevant evidence Conducting literature reviews, database analyses, and health economic and comparative