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and will apply knowledge and understanding that has been developed in the field of human skin/surface friction. The aim will be to further develop analytical models that predict frictional performance
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to the advancement of digital imaging technique and computing power. In this project, high speed stereo imaging for flame studies developed in Prof. Zhang’s research lab will be further developed for more quantitative
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Celular and metabolic changes of the periodontium throughout life.
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Funded Dr J L Curiel Sosa Application Deadline: Applications accepted all year round Details The development of new advanced composite materials offers plenty of possibilities to implement these new
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Dr J Foreman Application Deadline: Applications accepted all year round Details Interested in high...
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Evaluating interventions for end-stage ankle osteoarthritis School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof Claire Brockett, Dr Ines Rombach Application Deadline: 30 June 2025 Details Around 1% of the adult population has...
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Fundamental combustion chemistry of hydrogen and ammonia fuel blends School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr Kevin Hughes, Prof Mohamed Pourkashanian Application Deadline: Applications accepted all year round Details Given concerns on the...
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with latest development of data-driven approaches may also be included as part of the project. Upon the successful completion of this project, the PhD candidate will gain expertise in formulating and
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to infinite-dimensional optimization problems that are often more challenging to solve. This project will focus on the continued development of a new type of direct transcription method named the integrated
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in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced