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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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the charging schedule (V1G) to consume energy at optimal times. Another form incorporates equipment that allows the vehicle to discharge energy back into the household or the grid (V2X). This project aims
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
on the acceptability of a nurse led WGS pathway. The interviews will be semi-structured and guided by an interview schedule. Topics will include stakeholder views on the potential benefits of nurse-led WGS, views
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-quality software. Collaborate with Product Owners and partners to handle delivery timelines and scheduling expectations. Track, monitor, lead, and report to ensure projects are delivered within scope
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scheduled team meetings. Liaise between individual students /groups of students and programme directors. Undertake module evaluation, including facilitating student feedback, reflecting on own teaching design
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scheduled team meetings. Liaise between individual students /groups of students and programme directors. Undertake module evaluation, including facilitating student feedback, reflecting on own teaching design