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Field
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training in computational tools and statistical methods over the course of the project. The project includes placements at NPL and Waters-TA Instruments, with opportunities to work in state-of-the-art
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Exciting Fully Funded PhD: Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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(physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility The studentship
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in nature and can be tailored to suit the interests and backgrounds of individual candidates. Applicants from diverse disciplines—such as construction, engineering, computer science, business and
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degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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Engineering, materials science or related subject. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website
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implementation of decentralised personal data governance frameworks? Technology: How can multimodal knowledge graphs in combination with generative AI help individuals govern their data (e.g. within decentralised
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives (1