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will be used to train predictive models to inform pro-active network maintenance with the outcomes being reviewed and annually updated. This project offers a unique chance to develop data-driven
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relationship (SAR) study to investigate the impact of labelling position and linker length on the binding affinity, biological activity, and signaling profiles of the labelled hormone analogues. 3. Develop and
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barriers to effective cancer care and explore ways to overcome them. The findings will help develop strategies that are specifically tailored to the needs of these areas, potentially increasing survival
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for whom English is not their first language or who do not possess a degree from an educational institution using the English language for instruction, candidates must meet the minimum IELTS requirement
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of modelling, biomechanics & deep learning. The project is in collaboration with multiple NHS Trusts including the Sheffield Teaching Hospitals and Sheffield Children’s Hospital. The successful candidate will
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at Sheffield Teaching Hospitals NHS Foundation Trust. This PhD project will be conducted over a period of 3.5 years. We will use questionnaires and blood tests to investigate samples of 30 FND/FS patients and 30
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will develop cell-level biological networks for the prediction of the changes in molecular and cellular concentrations over time due to biochemical stimuli and will integrate them with the finite element
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may be appropriate. For spatially uniform, straight river channels, without vegetation, this is around 100x the channel width downstream of the outfall. This project will develop an assessment tool
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or 22nd July 2024 This fully funded project provides an unrivalled opportunity to develop world-class technology for the monitoring of service reservoirs (tanks). The focus will be on the ability to detect
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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