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Field
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Statistical methods are leveraged in many scientific applications to: specify a data collection practice (experimental design), draw conclusions from sparse and noisy data (inference), and assess
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long
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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical
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CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne
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that HbA1c can sometimes lead to incorrect management of diabetes. To address this problem, the project will use statistical genetics to untangle these distinct biological pathways. By separating the genetic
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idea in more detail using novel genetic epidemiological techniques in large global biobanks. The student will train in 3 world leading centres and will gain skills in immunology, statistics and genetic
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://scholar.harvard.edu/laibson/home https://faculty.som.yale.edu/jameschoi/ http://www.hbs.edu/jbeshears Principal Duties and Responsibilities: Performing statistical analyses on large databases Designing and running
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://scholar.harvard.edu/laibson/home https://faculty.som.yale.edu/jameschoi/ http://www.hbs.edu/jbeshears Principal Duties and Responsibilities: Performing statistical analyses on large databases Designing and running
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://scholar.harvard.edu/laibson/home https://faculty.som.yale.edu/jameschoi/ http://www.hbs.edu/jbeshears Principal Duties and Responsibilities: Performing statistical analyses on large databases Designing and running