21 machine-learning-and-image-processing PhD positions at The University of Manchester
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to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
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methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
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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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lifetime to create a sustainable future. To date much attention has been given to the recycling of plastic packaging but there is a lack of understanding about the required processes for engineering plastics
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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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using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands of diverse industrial processes. While mono-material felts offer simplified recyclability, blended
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operation and stability limits. Models will be developed and different configurations will be compared. The successful candidate will have the opportunity to interact with GE Vernova’s engineering staff and
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their reliable operation, stagnating progress in scientific computing. While quantum effects threaten the continued scaling of classical computing, quantum computers are designed to exploit these effects