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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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the theory, concepts, and approaches used in the Dunn Lab. Experience with designing and implementing research projects that integrate biological and environmental data. Excellent organizational and project
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-author papers in peer-reviewed journals Expertise in the theory, concepts, and approaches used in the Dunn Lab Expertise in statistical analysis methods, such as linear and logistic regression and