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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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This PhD focuses on the development of a novel approach to measuring the traction behaviour of artificial turf, supported by FieldTurf, a global leader in the production of artificial turf for sport
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, you will explore water-gas shift chemistry to tailor sustainable carbon dioxide and hydrogen concentrations as the first step to produce sustainable fuels. During the project you will design manufacture
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benefit we can offer is the option for to complete a PhD in the 36-months, if you wish. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science
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(or international equivalent) in a relevant subject such as Sport and Exercise Science, Biology, Human Physiology, or Biological Sciences A relevant Master’s degree, for example in Physiology and/or Nutrition Applied
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Duration of Award if full time preferred*: 4 years 1st Supervisor: Dr Tao Lyu 2nd Supervisor: Prof Bruce Jefferson This exciting fully funded PhD, with an enhanced stipend of £25,726 per annum
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
on integrated GRMs. The successful candidate will hold a PhD (or be close to obtaining) in Applied Physics, Material Science, Nanotechnology, Chemistry or Electrical Engineering with experience in photonics
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performance, performer training and performing archives, this PhD will examine how engagement with an archive enables performance histories to be taxonomised and reanimated, using Reckless Sleepers’ body
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study: search for the ‘Course Title’ using the programme code: 8020F select ‘PhD Biology (full-time)' as the programme of study You will then need to provide the following information in ‘Further Details
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either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling. The PhD student will be a part of the Surrey/AWE Centre of Excellence in