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University of Oslo and UiT The Arctic University of Norway | Norway, Michigan | United States | about 23 hours ago
/61927781301 Application and more information: https://www.jobbnorge.no/en/available-jobs/job/303593/phd-fellowships-in-knowledge-driven-machine-learning-in-norway-8-positions Keywords: Bayesian
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experimental goals are translated into executable protocols, results are processed and stored with full traceability, and Bayesian optimization, active learning or related machine-learning methods select the
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modeling, causal inference, Bayesian methods, computational modeling, and machine-learning approaches. Responsibilities include maintaining an active program of research, pursuing external funding
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to the areas of applied statistics, causal inference, non-parametric and/or categorical data, Bayesian estimation and/or inference, and/or program evaluation is desirable. RESPONSIBILITIES Developing
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 10 hours ago
Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control
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and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Quantum Mathematics, Biostatistics and Ecology, Computational Mathematics, Data Science, Dynamical
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the QISE department by carrying out both quantum information and computation projects ranging from quantum device characterization, error mitigation/suppression/correction, Bayesian-inference-based
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. On this basis, risk and consequence models based on Bayesian networks will be formulated, and incremental risk updating methods will be developed. A computationally tractable Value of Information
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condition indicators using a hierarchical Bayesian framework, and uncertainty models and evidence quality flags will be developed for each source. The candidate will contribute to defining the
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. The candidate will develop a Bayesian data assimilation framework built around the Q-model using large datasets (e.g. Holisoils, LUCAS, ICP Forests) and scaling the results up to European level. The