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-dimensional statistics, semiparametric/nonparametric methods, change-point problems, signal processing, Bayesian statistics and machine learning. Candidates must have a PhD in Statistics, Biostatistics, or a
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chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12-18 months
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, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12
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knowledge of key AI methods such as deep learning, operator learning, and Bayesian optimization, and apply it to develop next-generation surrogate models. This position will enable you to coordinate and
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research areas include biostatistics, Bayesian methods, environmental and ecological statistics, multivariate statistics, spatial and spatiotemporal analysis, sports analytics, and statistics and data
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design, such as Bayesian Adaptive Clinical trial design or established expertise in statistical methods such as structural equation modeling, causal data analysis. Experience in serving in protocol review
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, surveys, experiments, simulations, Bayesian inference, and advanced quantitative analysis. We are especially interested in courses on the applied use of generative AI, including courses on developing and
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the graduate curriculum, and social sciences scholarship across the school. Examples of topic areas include (but are NOT limited to): models for inference (e.g., SEM/CFA, Bayesian modeling, linear mixed effects
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of electromagnetic wave physics or astrophysics, considered an asset. - Experience with advanced statistics and Bayesian inference, which will be regarded as a plus. Familiarity with compressed sensing and the ability
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in at least one of the following domains: mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference.