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Field
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work in close partnership with the wet-lab team and use novel computational approaches and algorithms including A.I. and Bayesian statistical methods to infer causal relationships between mtDNA variants
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learning, Bayesian statistics, multivariate statistics, model assisted estimation, rarefaction, or wildland fire simulation Experience using geospatial data for landscape-scale research Strong analytical
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, longitudinal data analysis, Bayesian statistics, and/or machine learning. Strong programming skills in statistical software packages such as R, SAS, or Python. Evidence of potential for excellence in teaching
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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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., GAN and variational auto encoders), generative models for structured data (e.g., Bayesian networks), Blockchain-based decentralized trust computing, software engineering/model driven design and
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, Joshua W. and D.L. Dowe (2005). ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in
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. with expertise in biostatistics and acquired or developmental communication challenges to align with existing research in both departments. Desired areas of statistical expertise include Bayesian
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, Multivariate Analysis, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 month 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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-reviewed literature - fluency in the R programming language - experience mentoring undergraduate students in research Preferred Qualifications: - experience with maximum likelihood or Bayesian inference