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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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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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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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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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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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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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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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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