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Retractable Modular Machines – Driving Aerospace Electrification Revolution (EEE-02-Li) Department of Electronic & Electrical Engineering PhD Research Project Competition Funded Students Worldwide
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ACS-02-Ward - Application of Machine Learning, Data-Science and Digital Twins in Aerospace Manufacturing Department of Automatic Control and Systems Engineering PhD Research Project Competition
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials Department of Materials Science and Engineering PhD Research Project Self Funded Dr J Foreman
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Failure Prediction on Composite Aerospace Structures and Space Systems Department of Mechanical Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline: Applications
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Retractable Modular Machines – Driving Aerospace Electrification Revolution (EEE-02-Li)
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should have (or about to receive) a degree in Mechanical, Aerospace, Civil, or Chemical Engineering, Physics, or Applied Mathematics with at least a UK 2:1 honours grade or its international equivalents
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. As a result, designs of aerospace vehicles using electric, hydrogen and hybrid power sources have seen rapid development during the previous decade. One of the main obstacles to battery-powered
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Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials
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aerospace vehicles using electric, hydrogen and hybrid power sources have seen rapid developments. This leads to many interesting control challenges. This project will focus on the use of the latest
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to optimise cutting parameters and show part conformity, particularly for safety critical aerospace components. Although there already exists some knowledge about the effect of cutting operation on the produced