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Field
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access
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chip architectures, including neuromorphic and domain-specific accelerators (e.g., TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- Reconfigurable AI-Embedded Systems: Develop adaptive
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Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. Supervisors: Prof Peter Ireland Future aircraft engines will maximize fuel efficiency by including new, fluid flow and cooling systems
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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penetration of renewable energy sources, power systems face growing challenges related to transmission bottlenecks, fluctuating power flows, and grid congestion. Phase Shifting Transformers (PSTs) are vital in
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Infrared heating heats people and surfaces directly, without heating the air in between. Thus, it is claimed that radiant heating can provide thermal comfort at lower internal air temperatures
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to its ability to lie dormant in reservoirs within the body: T-cells that are infected but no actively replicating virus. This allows the virus to evade standard treatment approaches. Despite years
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turbine predictive control and AI applications. 3. Conference Attendance and Networking – Funding is available for leading conferences such as WindEurope, IEEE Power & Energy Society, and the European Wind
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This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one