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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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, claims data, registries, pragmatic clinical studies, and other real-world data sources. Areas of methodological interest may include uncertainty quantification, conformal inference, causal inference
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-fidelity analyses with observational data to yield robust, uncertainty-aware predictions. Outcomes include a transparent, open-source toolkit for catastrophic risk and fragility assessment, integration
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-term contract, for the scientific area of Technical Sciences, scientific field of Naval Architecture, on the scientific project of the Croatian Science Foundation - Reliability and uncertainty of ship
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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such as scalable identification algorithms, uncertainty quantification, and the integration of learning-based models with formal verification. We offer a supportive, inclusive, and collaborative research
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EngD: Physics-based AI for Intelligent Machining: Learning, Optimisation, and Uncertainty in Next-Generation CAM Software (sponsored by DigitalCNC) EPSRC Centre for Doctoral Training in Machining
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about uncertainty, and responsive to ecological, ethical, and policy contexts. To respond to this, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance
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such uncertainties will help scientists and engineers to accurately predict when, where and how likely it is that extreme waves might occur. The candidate will conduct research and develop computational tools