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Application deadline: 01/08/2025 Research theme: Turbulence, Fluid Mechanics, Offshore Conditions, Renewable Energy, Hydrodynamics, Experiments This 3.5 year PhD is fully funded for applicants from
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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behaviour, improve body composition and modulate stress. However, people often find starting an exercise programme a daunting experience and there are many barriers that prevent women from getting lifestyle
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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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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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for MPhil/PhD in Health Sciences via this webpage. If you have any informal queries, please contact: Dr Talar Moukhtarian and Glenn Waller . Application deadline: 31 August 2025. Interviews will be held
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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October 2025. Later start date is possible, please contact Dr Isabella Guido once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We are seeking a highly
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging