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, high vacuum apparatus and instrumentation, charged particle manipulation and detection systems, signal processing and scientific programming, quantum chemical calculations and molecular dynamics
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
computer science or mechanical engineering. The candidate will have programming experience and preferably with previous experience of using machine learning and understanding of how to develop machine learning
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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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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after