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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 3 months ago
data analysis, secondary data analysis, meta-analysis, clinical trials, missing data, structural equation modeling, and Bayesian methods. The Department seeks to identify successful candidates with
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, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, Bayesian inference and model selection, and variational inference. Practical and theoretical understanding
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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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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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skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation, rarefaction, or wildland fire
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this position will continue with their faculty appointment at The Cooper Union. ESSENTIAL FUNCTIONS/RESPONSIBILITIES Expertise in all areas of machine learning including deep learning, Bayesian statistics
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, particularly within the context of QMRA. Strong proficiency in R/RStudio (modeling, simulation, inferential statistics, etc.). Familiarity with Bayesian statistics. Foundational knowledge of general microbiology
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phylogenetic analysis over traditional Bayesian methods, and this capacity for improvements will have substantially more impact on the more complex MSC model. The project will develop an efficient framework
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. The Department of Statistics has expertise in Bayesian statistics, machine learning, optimization, multivariate analysis, dependent data (including time series, spatial data, and functional data), data science
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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