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from aquatic sediments represent a major uncertainty in the global carbon cycle. This project seeks to advance our mechanistic understanding of methane gas dynamics across multiple spatial scales by
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Studies. This is due to regulations of the German Research Foundation stipulating that the Centre cannot provide funding to enhance resources of the university’s Cluster of Excellence. In case of doubt
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requires re-locating to the Netherlands. We realize you may not excel in all of the above qualifications. When in doubt, feel free to contact us in advance. Contact information is listed below. We look
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discovery and inference, with an emphasis on robustness, scalability, uncertainty quantification, expert knowledge integration, and multi-scale causal abstraction and representation learning. Your Job How are
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, identifiability, uncertainty quantification, and interpretation. Account for structures arising from spatial relationships, physical constraints, high-dimensional imaging, and clinical covariates. Apply
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in yards, creating opportunities for more data-driven planning. AI can replace or supplement traditional planning approaches, which struggles to manage the uncertainty and variability that are inherent
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within the CREST-GLOBAL research team, which focuses on equitable urban transitions and decision-making under uncertainty, in close interaction with the Department of Design. Are you motivated to take a
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complexity, fault susceptibility, countermeasure effectiveness, robustness across devices and operating conditions, reproducibility, and the uncertainty and confidence associated with security conclusions
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deployed. The research will therefore combine qualitative fieldwork with computational modelling to develop approaches that operate under uncertainty, adapt as the landscape changes, and generalise beyond
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design spaces, long-duration simulations, and real-time applications. This PhD project will develop physics-informed deep learning and surrogate modelling approaches to accelerate simulation, uncertainty