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This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation
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search process in parallel with the public advertisement of the role. Head to Perrett Laver : https://plusportal.perrettlaver.com/VacancyDetail/a5d7bd55-5803-7530-b150-3a229080f295 a copy of the candidate
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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Play is fundamental and one of the main methods children learn skills, gain independence, and practice daily tasks that lead into adulthood. TechToy Library is an innovative, co-designed initiative
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the discipline's strategic focus on health equity, social determinants of health, health services research and research methods education. Working within a collaborative and interdisciplinary environment
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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unavailable or imprecise, either because the species is cryptic and hard to detect by visual monitoring or because current methods struggle to separate individuals from one another. Passive acoustic monitoring
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existing methods to explain behaviour in a particular setting. In either case, the aim is to connect formal models with observable behaviour. Our group studies cooperation across multi-agent systems and AI
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practices using a combination of numerical modelling, field-based research, data analysis and physical experimentation. You will contribute to: Developing and applying numerical models to investigate