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excellent’ (3*) while 90% of its research has been classified as having ‘outstanding’ (4*) or ‘very considerable’ (3*) impact. The Centre for Engineering Research and the Network and Security Research Centre
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https://www.sems.qmul.ac.uk/research/studentships/674/net-zero-natural-resource-energy-and-time-efficient-manufacturing/The PhD work will benefit from access to unique facilities including
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networks which are intrinsically explainable; (5) design a new multi-dataset benchmark for assessing the trade-off between accuracy and explainability Project Description: Whereas traditional machine
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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Council you will attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly
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or industry. Network-wide Training Events will provide complementary knowledge, multidisciplinary experience, and transferable skills: ethics & research integrity, scientific writing, communication
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. Changes in water table pre- and post-restoration will be monitored using the existing network of piezometers distributed across the floodplain and additional piezometers installed. Additional measurements
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. This opportunity will help you build an unmatched network and gain practical expertise that makes you invaluable in both academic and industrial careers. PhD 1: Digital Manufacturing for H&LS Production explores
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero