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Introduction ParaFit 2032 will advance Para athlete health and performance, focusing on the interactions between performance, well-being, gender, and equipment ergonomics. Despite extensive research
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frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as
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modelling tools (CST or HFSS) - Fabricate and test for optimal electromagnetic performance, such as bandwidth, return loss, insertion loss and power-handling. - Develop and characterize new bonding/alignment
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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sensing, and Electromyography (EMG) tools to understand user-device interaction and optimize real-world rehabilitation performance. The student will gain experience in AI, human biomechanics, smart textiles
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maintain normal rhythm. Although no medical background will be assumed, the successful applicant will have the unique opportunity to combine analytical and experimental work, through interacting with both
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through advanced cooling integration, as well as using topology optimisation, soft magnetic materials (e.g., cobalt-iron alloys), and additive manufacturing to push performance boundaries. The research will
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alloys), and additive manufacturing to push performance boundaries. The research will seek optimal trade-offs between compactness and performance, delivering foundational insights into the future of high
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Salary: Research Assistant: £32,546 to £34,132 per annum Research Associate: £35,116 to £37,174 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous
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in our evaluation. Our research projects require the skills to work in a self-driven, independent manner, and the abilities to collaborate with others. These projects are collaborative not just within