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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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architectures for decision making, autonomous hybrid systems modelling, formal verification, and distributed and parallel control systems. Period of Study: This is a 4 years A*STAR ARAP programme https://www.a
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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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Functional lung image synthesis using machine/deep learning: development, validation and application
. The initial phase will involve developing a lung segmentation and registration framework using architectures enhanced with attention modules and sparse architectures. Subsequently, various advanced machine/deep
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visual data. The entire project will be carried out in two steps. Firstly, we will investigate new deep architectures and algorithms that can capture and encode causal relationships present in visual data
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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