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-processing crucial. However, video restoration and enhancement are complex due to information loss and the lack of ground truth data. This project addresses these issues innovatively. We propose using prior
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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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on the tendency for cracking and embrittlement in ferrous materials. Contaminants can be introduced in workshop environments that handle many different materials, or during repair and maintenance work on complex
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genomics, as well as state-of-the-art data science and computational methods in modern biology. We encourage applications from students interested in epigenetics, personalised medicine, and genomics. We
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3D models can accurately represent complex tissue structures (Xie et al., 2024). Aims: Our core aim is to investigate relationships between exercise, adiposity and breast cancer in an in vitro model
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transfer of sick and vulnerable infants to the MRI scanner and offers only a single snapshot of brain structure. The limitation of conventional imaging is due to the complex relationship between brain
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net zero goals and the future of our planet. During their lifetime, those energy storage systems can experience complex electrochemical-thermomechanical phenomena that can result in their volumetric
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combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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with analysis to understand complex phenomena in high-speed boundary layers, from transonic up to hypersonic. This is important for next-generation flight vehicles, including atmospheric entry craft