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part of the project, the Research Group will develop assessment tools that will inform the practice of Pathfinder workers and will be used to collect outcome data for the evaluation. At specific stages
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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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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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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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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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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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Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor
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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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, 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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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