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Field
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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techniques like generalisations of Autoregressive Integrated Moving Average (ARIMA) models, Dynamic Linear Models (DLM) and joint longitudinal and survival models. To appropriately capture uncertainty
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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environmental degradation and economic strain. Existing detection methods fail to address the issue effectively, being both costly and unreliable. This project proposes an innovative solution by integrating drone
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approaches to assess differential gene expression and altered pathways associated with pollutant exposures, integrating this data to identify mechanisms associated with lung disease development
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(DSMC) method. To date there are few practical 3D solvers that address a direct solution of the Boltzmann-BGK equation. The project aims to integrate AI accelerated approaches, including but not limited
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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on integrating scalable, low-energy manufacturing techniques such as preformed windings (e.g., hairpin winding) and additive manufacturing. Life cycle assessment will guide design choices, balancing performance
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understanding of the degradation phenomenon of cladding in storage conditions, environment assessment of storage sites, pond chemistry challenges, novel ways of demonstrating structural integrity, addressing