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Field
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aims to generate integrated disease progression models, enabling the identification of patients likely to deteriorate more rapidly. Results will also enhance our understanding of disease mechanisms and
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paramount. Secure and trustworthy AI-electronics focus on embedding security features directly into hardware, such as hardware security primitives and tamper detection mechanisms. This field addresses
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a new generation of artificial muscles. This work will leverage the expertise of the Bristol SoftLab (www.bristol.ac.uk/softlab ) and the supervisory team in fundamental and applied transduction
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for An enthusiastic, self-motivated, and resourceful candidate with a 1st or upper 2:1 degree in mechanical engineering, aerospace engineering, materials science, electrical engineering, or a related field. Desirable
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1st or upper 2:1 degree in mechanical engineering, aerospace engineering, materials science, electrical engineering, or a related field. Desirable skills include: Interest or background in composite
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applies to all students wishing to study at The University of Salford. How to apply for research studies can be found here: https://www.salford.ac.uk/study/postgraduate/applying/applying-for-research
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manufacture of demonstrator structures Overall, the PhD student will have the ability to develop advanced skills at the intersection of structural mechanics, manufacturing process dynamics, and uncertainty
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
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technologies. Metamaterials, engineered to exhibit properties not found in naturally occurring materials, offer an innovative pathway to overcome these limitations. By designing intricate periodic or quasi
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About us UCL Mechanical Engineering is a leading department committed to advancing engineering excellence for a sustainable future. We are home to a vibrant community of academics, researchers, and