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Doctorate by Design in Landscape Architecture Department of Landscape Architecture Social Sciences Research Programme Awaiting Funding Details The Doctorate by Design from the University
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reservoir computing architectures with application to modern, real-world problems. This project aims to explore how diverse properties in recurrent neural networks can be used to create reservoir computing
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, or Masters degree (with Merit or Distinction), in a related field such as (but not limited to) Engineering, Architecture, or Physical Sciences. Experience of practical engineering design, particularly
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principles of sensing and control, international standards for autonomous robots, self-assembling robotic systems and swarms, advanced software architectures for decision making, autonomous hybrid systems
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monitoring, environmental tracking, monitoring of traffic, threat detection, industrial monitoring and many more. A conventional sensor network has a centralized architecture, and it typically requires a
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from the computing theory level to the algorithm level. With the sharp computing theory, architecture and algorithm we developed in this project, we will enable AI applications on more power-sensitive
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supramolecules that have spherical and hollow architectures. As recombinant proteins, they are amendable to both genetic and chemical modification and have manufacturing scalability. The spherical hollow
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. The research topic will be chosen from one or more of (but not limited to) the following themes, as relevant to the ongoing Group’s research activity:- · RF Sampling transceiver architectures
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new sensing, monitoring, and Digital Twin control loop architectures. Focusing on Industry 4.0 solutions, the design of a data processing platform at the edge of the machining process will be critical
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transceiver architectures · Wideband modulators / demodulators (e.g. 5 and 6 Port concepts) · PCB & MMIC implementation of low-power, high-performance transceivers and subsystems · High