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Field
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Eligibility criteria You must have, at least a 2:1 honours degree or international equivalent, in a subject relating to neuroscience or neural engineering. Further qualifications such as an MRes is advantageous
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2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. This project is open to UK students or EU students with settled status.
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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) their undergraduate degree in physics, engineering or chemistry (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research
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transmission is a foundational technology for modern power systems, efficiently delivering electricity over long distances and enabling the integration of remote renewable energy sources. As renewable
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should be submitted via the Engineering Materials PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name
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, biology or engineering related discipline. To apply, please contact the main supervisor: Prof Jian Lu - J.Lu@manchester.ac.uk . Please include details of your current level of study, academic background and
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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. The Centre sits within the Department of Mechanical, Aerospace and Civil Engineering at UoM and performs advanced modelling and technical innovations in the field of laser-based advanced manufacturing
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable