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alongside an experienced evidence synthesis team, guideline developers, clinicians, statisticians, librarians and consumer representatives. Supervision The successful applicant will be supervised by
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. scholarship will be a statistician with a solid background in mathematical statistics and biostatistics. Accordingly, we require documented skills within theoretical and applied statistics and the ability
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of clinicians, computational scientists, engineers, statisticians, and laboratory investigators. Lead and participate in collaborative research projects spanning basic science, translational research, and
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the expertise of sociologists, psychologists, educational and political scientists, economists, demographers, and statisticians to provide state-of-the-art, multi- and interdisciplinary supervision of doctoral
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at the Centre for Health Economics- Monash University and School of Psychology, Deakin University, prior to returning back to her current role at Monash University. As a statistician and health
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in data integration and interpretation (imaging, RNA-seq/bulk/single-cell, spatial, clinical data) and collaboration with bioinformaticians/statisticians in analyses and reporting, Coordination
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to transportation safety and mobility. Collaboration: Work collaboratively with an interdisciplinary team that includes engineers, psychologists, statisticians, behavioral scientists and research staff. Project
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the expertise of sociologists, psychologists, educational and political scientists, economists, demographers, and statisticians to provide state-of-the-art, multi- and interdisciplinary supervision of doctoral
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codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and researchers during software development. Participate in design