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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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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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distributions and model parameter predictions. Experiments should be conducted on a range of tasks of different complexity in the context of different data domains, for example speech classification, speech
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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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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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, 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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past, present and future events to constrain extreme value distributions spanning hundreds to thousands of years. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys
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diversifications consume additional resources (computational, bandwidth, human). Research Aim and Objectives: It aims to deliver a bold cutting-edge technology: Moving Target Defense (MTD). MTD involves continuously