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seminars, including presentation of own research data. Provide support to lab PI and postdocs engaged on the project Take responsibility for the day-to-day experiments, including windowing/staging of chick
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generation and flow separation. Advanced computational fluid dynamics and structure analysis software will be employed with supplementary experimental investigations. Funding Notes 1st or 2:1 degree in
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aims to improve the current understanding of the oxyfuel combustion processes through performing detailed computational fluid dynamics modelling of the oxy-coal combustion and experimental investigations
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
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Managers, Engineers and Data Managers. By joining our dynamic team, you will have the opportunity to work with leading experts in the field and contribute to groundbreaking research that directly impacts
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these methods for thin coated membranes. As part of a team, you will develop mathematical and computational models, as well as lead the experimental work. You will work closely with our industrial partner. You
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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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round Details Partial Differential Equations (PDEs) govern a vast array of real-world phenomena, from the stability of fusion reactors and the dynamics of oil drill strings to the behaviour of quantum
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the findings with Computational Fluid Dynamics based modelling work as part of an integrated team. A central aim of the project is to identify successful mitigation strategies and thereby enhance the commercial
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– separately and as a swarm. Different methods will be developed – both centralised and decentralised for solving such tasks. There are a number of challenges: due to the inaccurate measurement data, dynamic