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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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colleagues. This comprises consulting on the successful realisation of upskilling events, the creation of upskilling material and distributed collaboration activities. Experience of participating in internal
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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funded athletes and para-athletes (current athletes and former athletes). Prepare a self-completion survey for distribution. Undertake a literature search and draft review with Principle Investigator