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scope for improvements. This PhD project will focus on exploiting the power of additive manufacturing to deliver high performing functional materials to allow increases in performance of electrical
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validation of the simulation will be performed using data collected by the ATLAS experiment. The PhD will facilitate experience and knowledge opening up career routes into traditional academic roles in high
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Overview As a Research Assistant in intelligent robotics for manufacturing, you will support implementation of advanced control and learning methods to enable robots to perform complex manufacturing
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and low power (yet high performance) RF circuits and hardware, spanning the entire field and spectrum of RF design. The purpose of this research project is to investigate present state-of-the-art
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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shear flows, aerodynamics. Numerical analysis, in particular Computational Fluid Dynamics. Excellent programming skills in C, Fortran, or any other high-level language. Desirable: final-year project on a
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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-breathing lung MRI. Image computing support for pulmonary MRI applications. Support the development of a prototype neonatal pod for lung MRI, in collaboration with industrial partner, Contribute
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informatics, and energy systems, and offers the opportunity to directly contribute to the operation and design of next generation fusion facilities. This EngD project is set within the Fusion Engineering CDT
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systems such power factor correctors and high voltage inverters to improve X-ray generator performance. You will lead this project, liaising with and assisting SLXR engineers in product development and in