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recognised as a critical aspect of adequate rockfall risk management. Yet, rockfall fragmentation is a complex phenomenon still poorly understood and not properly considered in engineering practice
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multidisciplinary team who are focused on improving outcomes for patients with chronic wounds. The School of Engineering seeks to appoint a PhD student to work on a funded project titled “Reducing the impact of
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This project will apply quantum chemistry and molecular dynamics simulations to the study of Hofmeister and specific ion effects in complex electrolytes, including non-aqueous solvents, deep
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investigate principles of multi-sensor vision systems in the context of deep neural networks and sensor fusion. The aim is to utilise machine learning techniques to develop new real-world technology in machine
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The research will focus on developing advanced AI techniques to improve analysis and interpretation of data in simulation-based training scenarios for Defence. The project aims to advance AI methodologies to optimise training effectiveness and system capabilities in simulated environments. The...
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Available to: Domestic students PhD Eligibility Criteria The PhD candidate will ideally have a health sciences or biomedical background. The candidate will have the opportunity for training and core
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Asthma is common in pregnancy; associated with exacerbations and poor outcomes for the baby. This study will prospectively examine the prevalence and clinical relevance of a range of traits, including lung inflammation, common co-morbidities and behavioural factors in this population. The...