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sustainable chemical and biocatalytic process development. Vision We are seeking a motivated PhD student to develop a strong experimental understanding of enzyme selectivity when processing mixed biomass
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smouldering combustion to drive a carbon-negative waste treatment process – through integration with materials destined for carbon mineralisation. The successful candidate will design and execute the necessary
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energy system . Your focus will be to explore (computationally) the most promising processes to form hydrocarbon blends from hydrogen and CO2. You will develop models of those processes and use them
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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Manufacturing Technology Research Group at Faculty of Engineering which conducts cutting edge research into sustainable high-value manufacturing processes. Vision We are looking for a PhD student who is motivated
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the manufacturing process. The embedded optical fibre sensing will be used in conjunction with advanced numerical models for monitoring of composites manufacturing and structural performance. Motivation High
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organised and accessible Support space management and occupancy planning through good information gathering and user engagement Contribute to School and Faculty level committees, supporting process
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the assessment process and will play no role in the decision to appoint. The post is available from the 31st March 2026 and is offered on a full time (36.25 hours per week) fixed-term contract until the 31st
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recruitment and induction to absence management and contract processes. You’ll be the key link between the School and the University’s HR teams, ensuring compliance with policies and creating a positive