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for expectant parents. It combines participatory design, motion capture technologies, and clinical expertise to develop personalised teaching tools, redesigned collection devices, and improved storage systems
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design, motion capture technologies, and clinical expertise to develop personalised teaching tools, redesigned collection devices, and improved storage systems. The project aims to enhance confidence
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and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision-support
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and master’s researchers advancing the next generation of energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops
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methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
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. The successful candidate will lead the technical development and validation of equipment-level FDD and preventative maintenance methods, leveraging digital twins, data analytics, and reliability engineering. In