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inlet boundary layers. Together, these features can significantly alter the formation, strength, and development of secondary flows. This PhD project focuses on understanding turbine secondary flows under
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such as targeted terrorist activities. Aim To develop a modelling approach for assessing water network resilience. PhD project description This exciting project will focus on developing a mathematical model
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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supporting the use of home-based tests to track vision changes in chronic neurological conditions such as Multiple Sclerosis. It will also contribute to the development of new vision-related metrics
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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Partnership and developed collaboratively with Sheffield Memory Hub (SMH), aims to address these gaps. The project will co-design, develop, and evaluate culturally appropriate dementia education materials
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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Technology Centre (MTC). You will push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling - with relevance to additive
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/or opto-electronics (UK/international tuition fees covered). The aim of project is to develop a new generation of integrated opto-electronic devices for next generation neuromorphic computing