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of power output suffers as a consequence. As a recent review highlighted, “Computational approaches that enable higher-fidelity representations under the rapidly changing behaviour of a controlled wind farm
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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. · Interpret and communicate results to Project Manager, Senior Project Manager and some essential Operational areas. At times communication to the customer programme manager is required to support the work
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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fixed-term 301 Tutors Ensure the core Academic Skills programme is cognisant of and responsive to the needs of international students Provide guidance to staff as part of the Elevate staff development
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be used to demonstrate the ability to detect both gradual degradation and faults in the machine. Training & Skills You will benefit from a taught programme, giving you a broad understanding of the
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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., manuscripts for publication and grant applications. Plan for specific aspects of the research programme. If given a particular hypothesis to examine, plan for own contribution up to 3 months ahead