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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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if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings
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Analyse and interpret clinical and research data Apply clinical and academic knowledge to generate new intellectual understanding Disseminate findings through publications, conferences, and seminars Support
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programme is delivered through seven interrelated work packages, including scientific evaluation (registry, CDSS, and implementation), alongside public and patient involvement, data integrity, programme
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to help develop new techniques within the laboratory, help supervise project/undergraduate students, and present their data regularly at internal lab meetings and external conferences. All applicants should
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skills. They will be expected to help develop new techniques within the laboratory, help supervise project/undergraduate students, and present their data regularly at internal lab meetings and external
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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
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goals of the project, in collaboration with Dr Andrew Plackett. Collect research data through laboratory-based scientific experimentation and (where necessary) literature reviews. Analyse and interpret
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, perform and supervise research projects and collect data in agreed areas to a high level of competency and quality Take part in collaborative research projects within and outside the group Project manage
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holder will support the collection of primary and secondary outcomes data, assist with consent processes and data storage/transfer, and ensure fidelity with the casework framework, as well as conduct semi