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on the reliability of the transformers. Hence this research aims to develop a multi-objective optimisation method to incorporate carbon footprint, total cost of ownership and the transformer reliability in selecting
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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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science or engineering related discipline. Experience with experimental campaigns would also be desirable. To apply please contact the supervisor: Dr Hannah Mullings, Prof Tim Stallard and Dr Samuel
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA
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an important role in the future energy system. However, the necessary adoption of electrolysers has been slow, limiting the accumulated relevant operational experience for confidence in the technology. Thus
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
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Engineering Department Location: Newport, Shropshire TF10 8NB Salary: £35,166 per annum Post Type: Full Time Contract Type: Fixed Term - Until 30 September 2028 Closing Date: 23.59 hours BST