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Northern Advanced Research Training Initiative network. How To Apply Please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=nubs012 for application instructions. Shortlisted
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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: · search for the ‘Course Title’ using the programme code: 8030F · Research Area: Chemical Engineering · select ‘PhD Chemical Engineering (full time)’ as the programme of study You will then
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knowledge of laser diagnostics for flames, experience with combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment
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combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment at Research Associate level is dependent on having a PhD
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advanced computational analysis of large-scale neural recordings. What you would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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: · Search for the ‘Course Title’ using the programme code: 8090F · Research Area: Mechanical Engineering · Select ‘PhD Mechanical Engineering (full time) – Mechanical Engineering' as the programme
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to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively