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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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and recommended priority areas for future intervention to support equitable access to this urban ecosystem service. This project aligns with NERC’s remit by addressing interactions between environmental
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visualization, wearable and immersive displays, virtual and augmented reality technologies, eye-tracking and HCI design solutions. The project looks at new methods to increase tele-presence and situational
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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-phonon interactions, which together form tri-partite coupling that gives rise to effective optomechanical interaction between collective excitonic states (optical) and vibrational modes (mechanical
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increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
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balance between weight and structural integrity is essential so that safety and performance are not compromised whilst maintaining material efficiency. Consequently, novel approaches to product design, such
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. Generative Optimisation: You will implement advanced AI techniques to support next-generation Pulse design, aiming for minimised equipment footprint and enhanced diagnostic capability. Training and Environment
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open questions wherein mathematics can play a key role, e.g., (i) can we mathematically describe the principles of LC phase formation; (ii) can we design LC systems with prescribed properties and (iii
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design, aiming for minimised equipment footprint and enhanced diagnostic capability. Training and Environment The successful candidate will benefit from cross-disciplinary supervision by experts in