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, stress markers, EEG, and ECG — will be collected by VR headsets and IoT devices. ML algorithms will analyse this data to identify trends, project risk factors, and propose tailored treatments. By combining
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frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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aligning with NQTP Missions 1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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Vacancies PhD position on Assessing DNS Dependencies at Scale Key takeaways The Domain Name System (DNS) plays a central role in the Internet’s infrastructure. Its distributed nature has enabled
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on terrestrial ecosystems in its new range. This project will investigate dispersal and distribution of pink salmon carrion and its effect on vegetation communities in coastal tundra ecosystems in northern Norway
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the global average. Most plant species in these regions are therefore shifting their distributions to track the climatic conditions they are adapted to. However, there is considerable variation in
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enable a step change in power conversion, transmission and distribution through power electronics based on new materials. At the heart of such systems are power semiconductor devices. The advantages
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate