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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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researchers working together to develop better understanding of decision-making processes in the provision of active travel infrastructure. The project will address research questions such as, why are some
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A position is available in the Department of Engineering at the University of Cambridge for a Research Assistant/Associate to develop cutting-edge digital technologies for infrastructure. The post
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A position is available in the Department of Engineering at the University of Cambridge for a Research Assistant/Associate to develop cutting-edge digital technologies for infrastructure. The post
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful
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be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period