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Field
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relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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management, user and service configuration). • Ability to execute defined tasks independently while receiving structured requirements and technical guidance. • Availability to attend on-site meetings or work
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include quasi-experimental designs, randomized trials or survey methodology. Advanced data analytic approaches, which may include multivariate general and generalized models, Structural Equation Modelling
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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian
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criteria Machine Learning Expertise: A robust foundation in probabilistic modeling, Bayesian inference, deep learning, and/or anomaly detection Modeling & Simulation Experience: Familiarity with Building
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modelling analyses, including differential gene expression analysis, microbiome diversity analyses, host–microbiome association testing, metagenome-wide association analyses (mGWAS), hierarchical Bayesian
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processes of the study systems of our collaborators. Core components of the research involve, among others, Bayesian hierarchical modelling, shrinkage methods, machine learning (ML) or dimension reduction
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at high resolution and the network science methods to study the resulting multilayer structure. This project will, for the first time, build a computational framework that maps coexistence routes across all
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receiving structured technical guidance. Availability to attend on-site meetings or work in person for part of the scheduled time. This position requires eligibility for a VA appointment to access VA research