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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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applications such as drug delivery. Possible outcomes and goals: Studying the interaction of collections of synthetic cells (i.e. proto-tissues) for tissue engineering and regenerative medicine applications
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clicking the 'Apply' button, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2
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changes (so called swelling). Swollen batteries are at risk of rupturing which may significantly shorten their lifetime. Development of advanced computer models is critical for understanding and
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to achieve, at least a 2.1 honours degree or a master’s in a relevant science or engineering related discipline. Applicants should have strong background in Machine Learning and Deep Learning. To apply, please
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Science, next page select “PhD Engineering (UoSM) (Full time)”. In Section 2 of the application form you should insert
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for the best opportunity to be considered. How To Apply Apply online by clicking the 'Apply' button, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page
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backgrounds who are eager to contribute to cutting-edge research at the forefront of nuclear technology. The PhD studentship comes with a competitive stipend. Objectives This PhD opportunity, offered in
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. This project will develop and apply new computational/analytical tools to guide XFEL experiments for specifically tracking lattice fluctuations and ion dynamics in energy materials (batteries). The project will
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have a leading programme of research into creating synthetic mimics of IBPs, understanding their function, and deploying them in healthcare and biotechnology - for example storing cells and tissue