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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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of distributed or decentralized forms of MPC (in which several MPC controllers are spread throughout the network and make control decisions independently) but this raises its own questions and challenges: where
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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on offer through all charitable routes, and uptake of these, and food distributions across West and South Yorkshire. Overall responsibility for data preparation, data analysis, and reporting of findings
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. Manage distribution and return of keys/fobs for accommodation buildings including cycle storage and car parking permits. Support the management and auditing of 9,000 building keys, including daily and
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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the implementation and ongoing review of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and
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flow are significantly increased across various new entities such as distributed energy sources. This will lead to additional information and communications requirements, as well as new information
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facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PUMaS hub will support ~20 PhD students along with research staff, creating
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof