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quality, and real-time AI performance. This research hub, tackles the intricate challenges of cyber-disturbances and data quality in Edge Computing (EC) environments supporting AI algorithms. The role
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and analysis Experience with movement analysis and signal processing (especially as applied to locomotion/ gait) Expertise in developing novel algorithms, but also understanding, optimising and applying
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. Key Accountabilities • Design and develop embedded AI algorithms for appliance profiling using smart meter data • Benchmark performance against state-of-the-art NILM approaches using datasets like
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supplied by the project partners using Ocular Systems technology Developing a DEM model for predicting packing density Developing algorithms and methods for processing data and turning it into output, in