26 Statistics "Wellcome Sanger Institute " Postdoctoral positions at Yale University in United-Kingdom
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bioinformatics, computational biology, computer science, statistics, genetics or related field required by the start date Demonstrated ability to design, implement, and apply for the analysis of high-throughput
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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses
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, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data
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a highly motivated full-time Postdoctoral Associate to join our team. The candidate will engage in cutting-edge research, tackling statistical challenges that arise from real-world applications in
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has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary activities in which the postdocs could participate, including a
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of scholarly research including content-relevant peer-reviewed publications. Knowledge of using statistical software, Stata. Be able to interpret statistical output and work independently as
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interests in behavioral science, strong methodological and statistical training, and a track record of working on field experiments (preferably with companies or other large institutions). Given the strength
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. Background knowledge of data science and/or AI technologies; or of health disparities scholarship Preferred but not required areas of expertise include statistical and survey methods, qualitative interviewing
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epidemiological or statistical analyses Experience extracting and/or analyzing large-scale health datasets, including those derived from electronic health records or other routinely-collected data Previous