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SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications
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Nature-Based Solutions for Mitigating Landslide Hazard Department of Civil and Structural Engineering PhD Research Project Self Funded Dr Alessandro Leonardi Application Deadline: 29 September 2024
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Effect of obesity on bone strength and implication on the risk of hip fracture Department of Mechanical Engineering PhD Research Project Self Funded Dr X Li Application Deadline: Applications
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means that babies born as early as 28 weeks gestation now have an 80-90% chance of surviving to adulthood. Nonetheless, premature babies have an increased risk of growing up with disabilities such as
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. This area is of vital importance to improving the comfort of products, reducing damage to skin, preventing complications from medical treatment and in reducing the risk of infection especially in older
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. This project aims to develop validated computational models of the foot and ankle, and investigate the biomechanical parameters impacting successful bone healing while reducing the risk of fixation
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(around 20%) there is a change in a gene that causes the MND. This gene change, can pass from parent to child, so that there is a ½ chance of a person with MND having a child who also has MND. Some people
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Details Globally, the effects of climate change and rapid urbanisation have dramatically increased the risk of landslide occurrences (Ozturk et al., 2022). In an analysis of landslide incidents, Froude
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-of-sample failure and rich data demand. ML models grounded by explainable theory stand a better chance against learning spurious patterns from data that lead to non-generalizable performance. Moreover
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Nature-Based Solutions for Mitigating Landslide Hazard