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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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in leaf size, shape and surface texture, all species have an astonishing ability to self-right when flipped over. Preliminary data indicate that drastic differences in surface wettability between
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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Area Engineering Location UK Other Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and
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access to personal development opportunities (e.g. research communication and entrepreneurship training) and the ability to interact with two spin-out companies Lineat and iCOMAT. The PhD project will
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academic responsibilities. The Person (Essential/Desirable) Knowledge, Skills and Experience Theoretical knowledge of children’s sleep and/or language development, and ability to maintain knowledge
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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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delivered is fundamental for the sustainable delivery of fusion power to the electricity grid. This project is based at Newcastle University, but will be co-supervised by the UK Atomic Energy Authority. The