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://www.lboro.ac.uk/research/mbse/ How to Apply: All applications should be made online via the above ‘Apply’ button. Under programme name, select Science/Physics Please quote the advertised reference number: SB/PH
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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maths, physics, mechanical or materials engineering or a closely related discipline is essential. A Masters-level degree or publication record in any of the above fields would be advantageous. Good
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input, two key functionalities need to be developed: (1) the ability to physically manipulate material to perform polymerisations and (2) the ability to analyse and process data. Over the course of this
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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physical strain. With a suicide rate 3.7 times higher than the general population, the construction industry has become one of the most stressful and dangerous sectors, highlighting the urgent need
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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physics and diagnostics at the York Plasma Institute Computational combustion modelling using High-Performance Computing (HPC) Machine learning techniques for predictive combustion models Research
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel