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or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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death in children. They are often first diagnosed on an MRI scan. These scans provide information on the tumour location and size, but for precise diagnosis doctors and patients usually rely on pieces
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can be 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
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data using appropriate theoretical and methodological frameworks Apply knowledge in a way that develops new intellectual understanding Disseminate research findings through academic publications
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specialism), the post-holder will contribute to achieving research objectives by gathering and analysing qualitative and quantitative data, undertaking project management and administration related activities
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion
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Translational Centre. Plan and publish high quality research, supported in this by the Centre Leads and Deputy leads. Conduct secondary data analyses. Expertise in big data would be valuable as well as advanced
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but