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for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both
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of research with a continuous programme of practical skills training in semiconductor science, engineering and technology, and particularly suited to students from non-traditional education routes such as
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, who is motivated to develop deployable motor-twin methods for intelligent motor drives. The post is for the duration of 2 months and for a maximum of 20 hours per week. Main duties and responsibilities
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will develop nanoscale devices which use magnons (collective excitations in magnetic order) as information carriers for ultra-efficient, compact, brain-inspired computing. This project is positioned
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major £10 million national research programme bringing together leading experts in cancer epidemiology, biostatistics, artificial intelligence, and health data science. THE PROJECT: Early cancer diagnosis
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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. The studentship is fully funded for 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary
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Supervisors: Dr Ioanna Dimitriou , Dr Oliver Fisher Programme Length: Four years Contract Type: Full-time Prospective Start Date: October 2026 The positions are filled in a first-in, first-served
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to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
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invite applications from candidates who can address one of the following topic areas in their PhD: AI and Causal Inference for Labour Market Resilience. Artificial intelligence is transforming labour