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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
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
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theoretical foundation with expertise in statistical computing, multivariate methods and Bayesian inference. RESPONSIBILITIES: Responsibilities for this faculty position include teaching several graduate
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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(astro)statistics techniques and hierarchical Bayesian inference. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and
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Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. OCBE has collaborations with leading biomedical research groups in Norway and internationally. OCBE
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to statistical computing, Bayesian modeling, causal inference, clinical trials and analysis of complex large-scale data such as omics data, wearable tech, and electronic health record, with specific preference
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expertise and interests in population sciences, Bayesian statistics, causal inference, statistical learning, high-dimensional data, and/or electronic medical records are encouraged to apply. Successful
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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high