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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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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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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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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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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
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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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funded research project Nextrode, which is developing new manufacturing methods for electrodes. Electrodes are traditionally manufactured using the slurry casting process, which involves large volumes
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large and vibrant team present within the Hearing Research group at Sheffield. The project will primarily involve using 2-photon imaging and AAV-gene delivery applied to a wide range of transgenic mice
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for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: · https://www.sheffield.ac.uk/royce-institute · https
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large