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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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training best-in-class health care professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. In partnership with the UC Health academic
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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, as well as develop methodological research to further advance the sciences of improvement and implementation and thus achieve better patient experience and outcomes of care more rapidly within the NHS
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on funded research project aimed at deciphering the roles of MOAP-1 in cellular senescence and ageing-associated disorders in liver. Long term goal of the project is to gain novel insights towards developing
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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opportunity for the successful candidate to develop their career in this exciting area in collaboration with some of the leading experts in the UK. The programme seeks to develop mathematical foundations of AI
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documentation, supporting partners in protocol development and laboratory set up and training before and during the clinical trials. The post-holder will also be expected to contribute to ad-hoc activities
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading