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, effective recovery and training strategies. This PhD programme will investigate the acute physical, physiological, and perceptual responses to training and competition in elite match officials. The findings
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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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://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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quantified background, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems
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to interpreting physical symptoms. When an infection is circulating, how do people decide what their own cough, aching muscles or a sense of fatigue mean and what actions, if any, they need to take? Are
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propose quantum devices which can exploit the physics uncovered [4]. A variety of theoretical tools (from open quantum systems to quantum many body theory) as well as computational approaches (e.g. QuTip in
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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’ button. Under programme name, select 'Physics'. Please quote the advertised reference number: SCI25-AP in your application. To avoid delays in processing your application, please ensure that you submit
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the Defence Sector (source: the UK Atomic Weapons
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or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate qualifications will be