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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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and others at risk of infection. This project explores the decision making of rational individuals when reward and costs are not comparable. At the same time, it investigates optimal policies to achieve
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insights based on user interactions and project experiences. ● Maintaining and optimizing JIRA board workflows, ensuring efficient project tracking and task management. ● Working closely with
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important questions: Are current coatings optimized for these cooler conditions? Can alternative coating materials and lubricants, such as MoS₂ (a known low-temperature lubricant), improve tool life? How do
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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