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techniques like generalisations of Autoregressive Integrated Moving Average (ARIMA) models, Dynamic Linear Models (DLM) and joint longitudinal and survival models. To appropriately capture uncertainty
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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regulations and product certification due to the inherent uncertainty of how AI systems make decisions. Classical engineering development guidelines, are difficult to interpret or simply not transferrable to AI
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guaranteed. This announcement text is a translation from the Norwegian announcement text. If there is doubt about the interpretation of the English announcement text, the Norwegian version prevails. About us
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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climate experts with the aim to address existing uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and atmosphere. Our interdisciplinary approach and state-of-the-art
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to investigate the cognitive and social behaviour (such as knowledge acquisition, organization, and transmission, recognition processes, or risk assessment and decision-making under uncertainty) involved in
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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. The military supply logistics network faces uncertainty, which is dependent on the adversary and their means. The military supply logistics networks need to consider different scenarios, requiring the that it
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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven