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Field
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strengths in Bayesian statistics, machine learning, multivariate analysis, dependent data, data science, applied probability and stochastic processes, and modeling. The faculty also have significant expertise
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Patrick Billingsley; Inference and Disputed Authorship: The Federalist, an application of Bayesian methods to fix the authorship of the Federalist Papers, by David L. Wallace and Frederick Mosteller
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social science research projects preferred. Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred
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of abstracts, presentations, and manuscripts. Focus research areas include the design and analysis of cancer clinical trials, survival analysis, Bayesian analysis, biomarkers selection. Essential Duties 1
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sampling algorithms to Bayesian learning paradigm Quantum-assisted training algorithms for sparse machine learning models. What you bring to the table Formal conditions to start a master thesis on a German
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of ABM accuracy (e.g., Gaussian process emulation, Bayesian calibration methods, etc.). B4. Knowledge of epidemiological, statistical and microsimulation methods, and their strengths and weaknesses
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Analysis, Mathematical Statistics, Bayesian Statistics are encouraged to apply. Responsibilities for these positions include mathematical research, undergraduate and graduate teaching (1+1), and departmental
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modern clinical trial design, such as Bayesian Adaptive Clinical trial design or established expertise in statistical methods such as structural equation modeling, causal data analysis. Experience in
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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, but are not limited to, structural equation modeling, multilevel modeling, intensive longitudinal analysis, psychometrics, Bayesian inference, network analysis, and machine learning. Successful