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are not limited to, statistical learning and machine learning, Bayesian methods, causal inference, functional data analysis, longitudinal and spatiotemporal data analysis, high-dimensional data
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matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of collaborators and strong access to compute through national GPU systems (NAISS, e.g
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modern computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, analysis of medical images, data visualization
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limited to, statistical learning and machine learning, Bayesian methods, causal inference, functional data analysis, longitudinal and spatiotemporal data analysis, high-dimensional data, statistical
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approaches for uncertainty quantification, large-scale prediction, model-based learning, causal inference, network learning, or related areas. Experience with Bayesian methods, whether theoretical
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help develop personalised models. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as
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computational model fitting, Bayesian inference, simulation, or formal model comparison. Experience designing or analyzing experiments in judgment and decision making, evidence accumulation, or response
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Mathjobs.org | 30 days ago
in Statistics include modern computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, analysis of medical images
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in Statistics include modern computational statistics, statistical genetics, spatial statistics, Bayesian inference, time series, categorical data analysis, bioinformatics, analysis of medical images
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Assistant Professor positions beginning August 16, 2027. We seek outstanding candidates with research interests in causal inference, Bayesian computation, statistics, machine learning, or related areas