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manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking
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the Photon Science Institute, BP International Centre for Advanced Materials (BP-ICAM), The University of Manchester at Harwell, and the Engineering & Physical Sciences Research Council-funded Henry Royce
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to increase each year. The start date is October 2026. As the aviation and power generation sectors move towards decarbonisation, gas turbine manufacturers are developing hydrogen-fuelled engines. However
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to also improve and scale the process. We have made major contributions in this area, including the use of Machine learning to discover new cryoprotectants [Nature Communications 2024, 15, 8082
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related discipline. To apply, please contact Dr Peter Brearley (peter.brearley
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of wider research effort to achieve a clear understanding of this century-old scientific challenge, transforming it from a persistent engineering problem into a well-understood physical phenomenon. Its
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Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect
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with experimental and theoretical scientists from chemistry and physics. For relevant papers by our team, see: Physical Review Letters 133, 1, 013201 (2024); Nature 636, 8043, 603-608 (2024); Dalton
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some