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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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manufacture, nuclear waste storage, green platforms for growth of functional materials, fuel cell hermetic seals, electrolytes, carbon capture solvents and thermal energy storage media. It is also vital
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by