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, low-energy manufacturing techniques such as preformed windings (e.g., hairpin winding) and additive manufacturing. Life cycle assessment will guide design choices, balancing performance goals and carbon
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Behaviour-Based Anomaly Detection
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for these architectures. This will also guide hardware design for such devices and tackle crucial challenges in networked systems and entanglement transmission. Candidate’s profile Knowledge of quantum computing and an
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that project aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information on research progress and outcomes to, for example, project lead
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decision-making framework to facilitate the design of restoration strategies. In this project, the student will learn on their own time (i.e. self-learning) and under the guidance of the supervisors
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hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
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supportive and friendly team, you will learn how to design and perform experiments that interrogate the molecular and cellular mechanisms regulated by ADAM15 and ADAM12 in glioma, employing cellular
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-based method to approximate the CFD-revealed effects of liquid metal convection on molten pool temperature predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed
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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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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running