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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
portfolio, conducts cutting edge research into the development of future Intelligent Reconfigurable Manufacturing Systems. This is 3-year fully funded studentship and is only open to UK home students. The
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and challenging materials. Artificial Intelligence and Machine Learning techniques will be employed to analyse experimental data, enabling deeper insights and faster optimisation of the nozzle design