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results from numerical and machine learning work to support the optimal deployment of the new sensors and their applications. Support field experiments with the new sensing technology in collaboration with
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"ideal graded periodontal membrane" and manufacture a bilayer prototype employing advanced manufacturing techniques alongside the aforementioned plasticisers, previously optimized in Dr. Ortega's
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to become involved in designing novel hardware and related DSP or control software for their proposed system(s) and then trialling and enhancing them for optimal operation in the Lab and in field
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be embedded throughout, with a quality by design approach facilitating targeting materials with an optimal trade-off between performance and sustainability. The project suits an individual with a
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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on an inventory of available products rather than being realised through partnerships to establish the process requirements and designing an appropriate solution. By adopting an approach based on optimal system
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metamaterial, to better control the manufacturing process. The end result will be prototype metamaterials that can be manufactured to mitigate for the effect of sub-optimal and variable feedstock properties and
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based knowledge of the system offers a unique opportunity to enhance the understanding, prediction, and optimization of body dynamics and their physical interactions with the environment. Low fidelity ML
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higher margin over melting and the optimization of engineered surfaces with improved heat transfer properties. You will join the Thermofluids group in the School of Mechanical, Aerospace and Civil
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stage and then propagate due to fatigue which poses a serious hazard. A compromise between specific strength and safety of the composite structures is crucial for an optimal design. Different composite