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The project: For more than a decade, the University of Bristol has been at the cutting edge of bicycle driveline testing technology. We have partnered with Team GB for the last three summer Olympic
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aims: Develop end-to-end protocols for screening selected foods and nutraceuticals. Create advanced strategies for data integration using tailored algorithms and machine learning approaches. Demonstrate
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degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field, with a genuine interest in Wearable Technology, Sensor Development, Biomedical Devices, and Data
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Manufacturing
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machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
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Time Closes: 31st July 2025 About the department The Department of Economics at City St George’s, University of London is a leading centre of excellence for research and teaching in economics. The
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for more details For further details and to discuss a prospective application, please contact: Dr Peter Shaw, p.shaw@kingston.ac.uk Eligibility: Minimum Upper Second Honours degree in Engineering or Computer
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Funding for: UK Students Discipline: Engineering & Technology, Electrical and Electronic Engineering, Other Engineering, Physical & Environmental Sciences Qualification: Doctor of Philosophy in
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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at the Hitachi Cambridge Laboratory as well as Dr Ljiljana Fruk's team in the BioNano Group at Chemical Engineering and Biotechnology. Improved enzymes will be combined with nanoparticle catalysts and novel