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low carbon district heating as a key strategy to enable large scale decarbonisation building sector, to achieve net zero by 2050. Currently, 2- 3% of heat demand in the UK is covered by district heating
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and GTC/HiPERCAM and NTT/ULTRACAM high-speed photometric data for a large number of magnetic white dwarf binaries. You will be responsible for developing new methods for analysing these objects, with
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. Cyber-physical power systems deploy the latest information and communications technologies to enable the data and information flows across different entitles of physical networks. Such ‘cyber’ systems
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further information about the group’s work and publications at http://osbornelab.group.shef.ac.uk. Enquiries should be directed to Colin Osborne c.p.osborne@sheffield.ac.uk. Please apply for this project
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-down landslides to replicate real-world scenarios. Model forests will be designed to mimic tree uprooting and breaking under landslide impacts, providing valuable data to validate and refine
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into the microgrid. The system needs to be optimised to deliver the lowest cost / kWh of delivered energy to the load, preferably comparable to that of a grid connection. The project runs alongside a large UKRI funded
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with engineers and contractors to discuss equipment malfunctions. Assist animal care staff with routine cleaning of animal holding areas and some basic animal husbandry tasks eg Cleaning out of large
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control boiling to operate safely. In boiling, the CHF identifies the highest reachable heat flux before a large drop in heat transfer efficiency, due to the heating surface becoming blanketed with vapour
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of Sheffield. The role is part of a programme of research that is fully funded by the Aerospace Technology Institute (ATI) in a large collaborative programme with several Industry partners, including Airbus
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themes of “digital research”. The research elements of the post will include the application of big data approaches, artificial intelligence and machine learning to neurodegenerative disease drug design or