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-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in thermal batteries, and to derive new understanding to guide design
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This is a fully funded 3-year PhD studentship to join the group of Dr Tianyi Zhang in the Department of Cancer and Genomics Sciences to investigate molecular mechanisms of genome regulation in
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technologies is therefore essential to support a sustainable and resilient battery supply chain. This PhD project, in the Energy Materials Group, at the University of Birmingham, will investigate advanced direct
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
class or 2:1 degree in the field of Cognitive Psychology, Human Factors, Ergonomics, Human-Computer Interaction, or related behavioural science. An MSc degree in a relevant area is desirable though not
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. For Chinese candidates: The China Scholarship Council (CSC) Scholarship: https://www.csc.edu.cn/chuguo China Scholarship Council (CSC) PhD Scholarships Programme at the University of Birmingham: https
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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particular emphasis on applications from psychology, cognitive science and computer science, and the candidate will be encouraged to engage in interdisciplinary collaboration and communication. We are looking
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future career in healthcare technology. The University emphasises the clinical translation of innovative research to ensure real-world impact through the Healthcare Technologies Institute and the Precision
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are you? - You hold an excellent MSc/MPhys/MEng degree (or equivalent) in physics, mechanical engineering, computer science, robotics, applied mathematics or an equivalent scientific/engineering field
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and