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Field
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification
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. The candidate will work at the intersection of climate resilience assessment, life-cycle modelling and uncertainty quantification. The successful candidate will collaborate with three research groups within
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stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification; validate the developed methods on retrospective multi-center clinical
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. To this end, domain decomposition techniques, uncertainty quantification, and reduced models—possibly based on neural network training—will be considered, along with the development of theoretical results
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reactors, with particular emphasis on statistical methods, uncertainty quantification and machine learning to improve the accuracy and computational efficiency of fuel-performance analyses. The work
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imaging methods that are more robust and computationally efficient, while also providing a natural framework for uncertainty quantification and experimental design. A central question is whether suitable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
theorists at the other institutions, including with statisticians to improve uncertainty quantification in theoretical research on double-beta decay. Minimum Education and Experience Requirements PhD in
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limited to, theoretical performance guarantees, learning dynamics and generative modelling, sampling and transport methods, statistical foundations, and uncertainty quantification. The candidate should
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resources engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Experience with hydraulic modelling, optimisation libraries, uncertainty quantification, data science, machine learning
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, and remote-sensing data) to support model benchmarking, parameterization, and uncertainty quantification. Explore and apply AI/ML approaches (e.g., machine-learning emulators, surrogate modeling, AI