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land uses to promote sustainability and resilience, constrained by biophysical limits (e.g. productivity, land areas, soil types, etc.). Where possible, models will produce quantitative data (e.g. Mt
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further information about the role, please click the 'Apply' button above. Please notice that if you have not received any news from us 1 month after the closing date you should consider
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is expected to become a primary
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engineering, digital technologies, and systems thinking. The university’s strong reputation for applied research and its focus on technological innovation ensure that this project will be well-supported, with
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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generated high-fidelity LES datasets. These datasets, produced under a parallel investigation, will provide detailed flow and temperature information for a geometry representative of a pebble-bed HTGR core
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score of 7.0 overall with a minimum of 6.5 in all sub-skills. How to apply For information about how to apply for this studentship, see www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code
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. The Productivity Institute is multi-disciplinary and welcomes applications from business studies, economics, and related social sciences. Application procedure You must submit your online application
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, embrittlement, and cracks. This will be achieved by integrating ultrasonic arrays with inverse modelling methods to interpret historical data. Additionally, the project will explore the failure mechanisms
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: search for the ‘Course Title’ using the programme code: 8060F. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following