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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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at 0.5fte for the final six months of the post. Across these two projects, the Research Fellow will collect objective and subjective sleep data from children with neurogenetic syndromes and develop and
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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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Work within specified research grant Operate within area of specialism Collect and organise research data held primarily by the Bank of England Archive, while making visits to other relevant UK archives
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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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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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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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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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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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themselves in the HPB medical oncology team to help deliver clinical care and trials and also integrate themselves into a research group at the university where they can generate preliminary data. Within