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to rapidly test if bacteria are being killed by bacteriophages. This project will work across disciplines of biology, electronics and medicine to develop new approaches. Our team combines expertise in three
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, protect the environment, and extend the lifespan of both railway vehicles and infrastructure. The aim of the project is to investigate and develop a comprehensive understanding of the mechanisms behind
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a medical diagnosis based on a similarly spurious rule such as visible marks left by medical previous treatments . It is therefore difficult to ensure that the models we train are reliable
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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PhD Studentship - Extending the Chemical Space of mAb Based Cancer Treatment with DNA Nanostructures
immunology, investigating the synthesis and evaluation of a modular cancer therapy platform. We propose to develop DNA nanopores into a modular platform that allows them to act as a drug carrier to enhance
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) research programme intended to develop generation-after-next-technologies for applications in defence and security. The project will be supervised by Prof Johan Nilsson ([email protected] ) and Dr William
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mechanisms, while at the macro scale, the engineering issue is to develop an efficient system for integrating these metamaterials with several engineering applications. Metamaterials derive their properties
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or Quantitative Finance will be welcome. We are looking for a candidate who can develop, among others, new approaches to identifying patterns in Big Data. For any subject-specific queries: Prof Tapas Mishra
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution
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of this PhD is to use cutting-edge quantum (DFT, DFTB) and classical (machine learnt force fields) atomistic simulations of nanoparticles of relevant size, composition, support, to develop advanced models