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Applications are invited for a PhD (via MPhil) studentship inComputer Vision and Machine Learning (CVML) Research Group, within the School of Engineering and Computing.The studentship is funded
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-based technique called MX-Raman. It can potentially be 10x cheaper and 10-100x faster than current tests, whilst being highly accurate at telling apart different dementias. The laser-based MX-Raman
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electricity consumption can be 2 – 4 times larger than the conventional CO2 capture technology. The electricity and thermal energy in the current DAC design are supplied by fossil fuels such as natural gas. A
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View All Vacancies Engineering Location: UK Other Closing Date: Sunday 10 March 2024 Reference: ENG1730 This project is an exciting opportunity to undertake industrially linked research in
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this multidisciplinary project we will explore the potential of cutting-edge sensor technology, data retrieval and computational approaches for understanding landscape-level interactions between livestock and the
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Electrical Stimulation (TES) with EEG to measure and modulate brain activity and evaluate the effects on behaviour. The research from this project will help identify biomarkers concerning alcohol consumption
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Summary The project would include the biosynthesis of bioactive molecule surfactants in bioprocess technology systems, including submerged and solid-state fermentation. The materials to be used as
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in the UK Bursary p.a.: Bursary equivalent to UKRI national minimum stipend plus fees (current 2023/24 bursary rate is £18,622) Fees and Bench fees: will be met by the University for the 3 years
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university and their surrounding communities, and have possibilities for geothermal and other renewable energy onsite deployment and therefore, in terms of electricity generated, identifying how electricity
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Competition Funded Students Worldwide Dr D Krizhanovskii Application Deadline: Applications accepted all year round Details Recent advances in semiconductor nano-technology have led to a new generation of