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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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thermal comfort iii. discovery & optimize new designs of future Building Management Systems (BMS). This PhD project will cooperate with national and international projects and you will contribute to develop
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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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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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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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and optimal performance of the platform. Your responsibilities will include managing the User Acceptance Testing (UAT) process, coordinating system integrations, and supporting data governance and
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of hydrogen burning operations, and the reduction of NOx emissions due to oxyfuels. Research Objectives: 1. Fuel Switch. The research will focus on identifying the optimal methods for switching from
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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