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of effective PMOS ceramic materials remains an open challenge. This project seeks to address this gap by investigating, modelling, designing and fabricating CMOS technologies using novel intrinsically p-type and
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learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly. As a PhD student, you will work with both
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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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model of particle physics can be tested, for example to help analyze experimental results from the LHC or the experiment to measure the properties of the muon at the Fermilab particle physics laboratory
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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strategies for robust statistical models. The project’s scope will be tailored to the candidate’s expertise, offering opportunities for innovation and impact. The successful applicant will join a dynamic
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resilient, long-term cost-benefit case for modernising and protecting our grid. The project will complement the ISS initiative and model data-driven grid optimisation services that ISSs can enable. Firstly
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of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin
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physical-interaction-rich tasks in constrained environments. By utilising recent advances in visual language models (VLM), RAINZ_CDT aims to enhance robots' capabilities in reasoning, planning, and