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using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected
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. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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finite element modelling to simulate the deformation of microstructures, novel crack propagation simulation techniques and scale-transition algorithms. The model will be informed and validated using full
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optimise the algorithms for optimal process control. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in
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accommodate a range of needs and schedules. For example, it is possible that the role could be split into two 0.5 FTE part-time posts. Main duties and responsibilities Conduct independent research on strategy
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, bottles and relevant equipment, washing and sterilisation of cages and laboratory equipment using the appropriate materials to predetermined schedules. Operation of machinery across all sites, ensuring all
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timetabling, scheduling and supporting activities throughout the year. Plan and prioritise your own daily work. You will make a full and active contribution to the principles of the ‘Sheffield Academic
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development activities in the field of subtractive processes. Develop independence through project managing, planning and leading the KTP project, meeting cost, technical, and schedule requirements. Use