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Field
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The project: This project aims to develop advanced, untethered soft artificial muscles for next-generation power clothing, exosuits, and assistive wearables . Current wearable actuators rely
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studies, and misinformation and information deception-will also be considered. In the first half year, the candidate will work closely with Dr. Seaborn and senior researchers to train and gain experience
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interdisciplinary team working on the development of cross-platform alignment technologies that integrate material science, process engineering and sustainability analysis to deliver scalable solutions for circular
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vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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components, with enhanced functionalities capable of gathering extra optical information. The proposed project is to design flat metamaterial optics [1,2,3] and utilise their increased functionality to develop
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel