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on-site fabrication, product repair and maintenance tasks, etc. Applicants should have or expect to achieve at least a UK 2.1 honours degree in Mechanical and Mechatronic Engineering, Manufacturing
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-resolution SEM, TEM, EBSD, EDS, and XRD. This means you will not only master advanced electron microscopy but also gain the broader expertise to connect micro-scale insights with alloy design and real-world
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variables directly. This simplification makes it a promising candidate for performing quantum computational fluid dynamics, and will be the primary focus of this project. Applicants should have a 1st or high
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engagement and outreach opportunities. Applicants should, or expect to achieve, at least a 2.1 honours or higher degree at the master level (MPhys, MChem or international equivalent) in a relevant science
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insulation systems becomes critical to maintaining performance, reducing downtime, and extending asset life. Generator stator windings typically comprise multiple sub-level insulation systems, including Main
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been filled. Electrical treeing is a primary degradation mechanism in polymer insulation leading to the ultimate failure of high-voltage (HV) cables. Despite being a phenomenon first observed and studied
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mathematics, programming, and machine learning. *Interest or experience in wireless communications, signal processing, or 6G technologies. To apply, please contact the main supervisor; Dr. Zahra Mobini
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(or international equivalent) in a relevant science or engineering related discipline. To apply please contact the main supervisor; william.fitzgerald@manchester.ac.uk. Please include details of your
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the main supervisor, Dr Bissett - mark.bissett@manchester.ac.uk , to discuss this. Project Overview Carbon nanotubes (CNTs) are critical components in advanced technologies, particularly as conductive
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human