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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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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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(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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-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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. 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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well as a new robust formulation of the process synthesis problem. The PhD student will have a chance to i) work with advanced process and fluid modelling; ii) understand, use, modify and extend advanced
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underlying wear mechanism in rail wheel contact with a range of materials and conditions. The data can also be used to understand the potential risk to health of the wear debris if flakes are measured as PM2.5
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expected by chance. Full bioinformatics training will be given. To confirm the pathogenicity of any identified variants, functional analysis will be undertaken. For example, rna-sequencing could be performed
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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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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