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analytic techniques including experimental and non-experimental design, advanced modeling, logistical data analysis, and Bayesian methods. The primary responsibilities also include working collaboratively
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
(UTSC) invites applications for a full-time tenure stream position in the area of Statistical Sciences, with a focus on the theory of Bayesian statistics and uncertainty quantification. The appointment
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theoretical foundation with expertise in statistical computing, multivariate methods and Bayesian inference. RESPONSIBILITIES: Responsibilities for this faculty position include teaching several graduate
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:10.1101/2023.11.14.566863. Developing and applying hierarchical Bayesian models to cognitive processes (available as IPhD) Supervisor: Dr Martin Lages MSc choice: MSc Research Methods of Psychological
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(astro)statistics techniques and hierarchical Bayesian inference. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and
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expertise and interests in population sciences, Bayesian statistics, causal inference, statistical learning, high-dimensional data, and/or electronic medical records are encouraged to apply. Successful
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to microeconomics (individual choice, aggregate supply, and demand, equilibrium), econometrics (endogenous variables, choice modeling), statistics and probability, Bayesian modelling, machine learning, and deep
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of negative service outcomes (such as non-deployability) Traditional and Bayesian approaches to both linear and non-linear regression to quantify connections between pre-service features and likelihood of in
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. Applicants with backgrounds in statistical learning, network science, causal inference, Bayesian statistics, theoretical foundation of data science, mathematical statistics, and large-scale statistical
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to statistical computing, Bayesian modeling, causal inference, clinical trials and analysis of complex large-scale data such as omics data, wearable tech, and electronic health record, with specific preference