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researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying uncertainty from
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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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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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accompanied by relevant evidence, uncertainty estimates, and transparent explanations aligned with current clinical guidelines? Preferred starting date: 1 November 2026 Where to apply Website https
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implications for competition, food webs, and fisheries. Yet current ecosystem models represent these key grazers only crudely, leaving major uncertainties in future projections. This project asks how changing
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/research/air-water-and-landscape-science ). Duties The PhD project will focus on uncertainty quantification in modelling flow and solute transport in fractured rocks. The work will include numerical
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, for example through newborn screening, family screening or genetic testing. These families may face uncertainty about when symptoms will develop and difficult decisions about treatment. Understanding
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for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness
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remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
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insights into coronary anatomy, blood flow, pressure, and wall shear stress—together with information about model uncertainty—the project aims to support more precise, physiology-guided treatment decisions