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create a robust and versatile materials platform that supports long-acting delivery, while developing fundamental insight into polymer structure–property–performance relationships. The student will
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of the e-Leaf into: A high-throughput multi-array platform for sensing in directed enzyme evolution in the context of a cascade – the multiplexed e-Leaf will be disruptive in this space, directly reporting
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date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. Metal components subject to high rates of deformation can fail catastrophically by fragmentation
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PhD Studentship available on the RAINZ CDT programme at The University of Manchester. Project Overview Abstract: Offshore wind and marine energy assets operate in harsh, inaccessible environments
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feedstock characteristics influence milling performance and pellet quality. Perform comprehensive rheology and materials characterisation to assess the viability of acoustic milling for mixed oxide
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kinetics and atomic diffusion leading to better mixing of U, Pu and neutron absorbers within the pellet which may result in improved performance as a wasteform. Thus, to inform DMOx manufacturing processes
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at The University of Manchester and The National Centre for Atmospheric Science (NCAS) showed the fundamental cause of high emissions was identified as dry fuels burning ‘rich’, but the project only used one
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Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate evidence of programming experience. Experience and background in the area of Robotics or Cyber
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty