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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
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discussions have identified two target applications: (1) A prototype single house systems and (2) a design for potential inclusion in RHS Wisely whereby greywater recycling enables the garden to no longer need
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, mechanical engineering, or physics background. Experience of experimental fluid dynamics, imaging system instrumentation or particle image velocity would be an advantage. As part of this role you may be
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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novel methodology for designing and assessing highly integrated fuel systems for ultra-efficient propulsion systems fuelled by SAF. The assessment will be done in terms of performance, operation and
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for improved operation of water treatment systems. The successful candidate will benefit from being part of a cohort of 12 students on the EPSRC Centre for Doctoral Training in Water Infrastructure and
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partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and from EPSRC. The investment, over the first 5 years of operation, was approaching £10M. We are now in our eighth year of
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development, entrepreneurship, and the patenting process, further enhancing their career prospects in both academic and industry settings.