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skyscrapers, enabling early detection of damage. - Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. - Microstructures: Accurate, efficient analysis of devices
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. Objectives: Identify common security and privacy risks in EV charging networks. Develop AI tools that can detect unusual activity and explain why alerts occur in simple terms. Design privacy features that give
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The aim is to discover and test candidate molecular mechanisms underlying central nervous system (CNS) (ie spinal cord and brain) regeneration. The human CNS does not regenerate after injury
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known CPAs, to target specific mechanisms of damage. In particular inspiration from natural macromolecular cryoprotectants (ice binding proteins) to both understand why the cells suffer post-thaw, but
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on health Physics-informed image registration approaches to infer injury mechanisms from longitudinal image data. Experimental characterization of the mechanical properties and damage behaviour in soft
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develop methodologies (such as acoustic emission method) detecting early signs of damage, leaks, or degradation before they become critical. We will also leverage the latest developments in machine learning
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to discover the fundamental mechanisms responsible for damage and deformation. About the host University and Through-life Engineering Services (TES) Centre Cranfield is an exclusively postgraduate university
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econometrics, machine learning, and GIS for predictive housing price modelling Addressing Edinburgh and South East Scotland's Construction Skills shortfall The full description of the projects is available here
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, including detection of positive selection and selective sweeps, to uncover the genetic basis of colour pattern mimicry. Most samples are available in the host laboratory, with potential opportunities
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are realised without introducing harm as the systems and their environments evolve. The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary PhD programme focused