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Field
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physiological signals associated with bruxism in real-time. The successful candidate will focus on: Developing and refining novel wearable sensors that are flexible, comfortable, and capable of capturing subtle
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
tested will have applications for landing on other planets or moons, or even propulsive landing of rocket stages on Earth. These missions require the use of novel guidance algorithms, sensors, and control
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£60 million. Similarly, implantable electronics like pacemakers and glucose sensors depend on degrading batteries, elevating patient anxiety. To address these issues, there is a growing demand for
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of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and biological touch and
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the context of prosthetic devices. The role would involve designing experiments to enable human participants to feel sensations from an artificial touch sensor, bridging the gap between artificial and
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Dark Matter Search with ADMX and the Quantum Sensors for the Hidden Sector Collaboration. School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Prof E Daw
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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organisations such as the European Space Agency (ESA) to carry out research on a number of ongoing projects, including PHYTO-CCI , TIME and CAMP . The work will include development of ocean colour algorithms
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of Sensors and Electronics. Well established experience in both theoretical and practical research is desirable. The successful candidate will be joining the School of Engineering at the University
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture