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the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
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Energy’s Natural Hazards R&D Team, this project will utilise and develop state-of-the-art space simulations to probe past, present and future events to constrain extreme value distributions spanning hundreds
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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unexplored control parameter in nitride dielectric thin films. By deliberately engineering nanoscale interfaces, multilayer structures offer a powerful route to control electric-field distribution and
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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intelligence, and architectural design. The research will explore two primary domains: Embodied Intelligence – Integrating AI into architectural systems through topics such as distributed sensor fusion
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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, many existing methods lack robustness guarantees and can behave unpredictably when faced with model mismatch, uncertainty, or distribution shift. This project is motivated by the need for deployable
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explore how salt distribution, structure formation, water management, and flavour release interact during processing, cooking, and consumption. Using advanced characterisation tools alongside sensory and