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Deadline: 26 June 2024 Details There is an urgent need to develop new treatments for cancer, especially for those patients whose cancer keeps coming back or spreads to other parts of the body despite current
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Deadline: 26 June 2024 Details Title: Developing gene therapy approaches for CADASIL. Description: Join us in pioneering cutting-edge research to develop innovative therapies for Cerebral Autosomal Dominant
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are seeking a motivated PhD candidate to contribute to our efforts to develop innovative artificial intelligence-based tools for integrating and consolidating multidimensional geographic data from diverse
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
potential effects on human health. PFAS are frequently detected in various environmental media (including surface water and groundwater) and biological tissues. There is a therefore a need to develop the
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this project you will develop and test a range of these inhibitory peptides, based on prototypes already developed in the lab. In parallel you will develop a recombinant method of peptide production that will
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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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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