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, predictive modelling and simulation will be carried out to assess delamination in cross-ply carbon fiber epoxy laminates. This research will benefit from excellent computing facilities, expertise in computer
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space systems. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities including flight simulator
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2016). This program will develop the 2nd generation of ingestible, magnetically controlled robots and tools that will replace conventional surgical tools. We require applicants to have either
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Robust Synchronisation of Large-scale Dynamic Networks School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lanlan Su Application Deadline: Applications accepted all year round Details This project aims to address the problem of synchronisation in interconnected...
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, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational efficiency, to better adapt
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higher dimensional structure. Likewise other programs in our group, this program addresses the principle, design, and implementation of developed mechanisms. We require applicants to have either
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of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
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for applicants with a background in computational neuroscience or robotics. Funding Notes Self funded or externally sponsored students only. Intakes are usually October and March annually. NB The University has
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Online discussion; augmenting argumentation with chatbots School of Psychology PhD Research Project Self Funded Dr T Stafford Application Deadline: Applications accepted all year round Details Argumentation - the systematic exchange of reasoning supporting or undermining an idea - enhances...
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component on this journey and are already having significant impact in the manufacturing industries. Despite this, the implementation of machining Digital Twins has been slow due to the computational burden