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integration, which involves the export, manipulation and import of large volumes of data. You will also be heavily involved in the importing of large quantities of student and alumni data into our database
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data including
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dynamics via experimental, modelling, and large-scale data approaches, with opportunities for collaboration and postgraduate supervision. Hybrid working is available – flexibility of working up to 3 days per
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Officers and Mature Student Recruitment Officers, you will monitor application and intake statistics and interpret this data to develop appropriate Widening Participation activities. There are also
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modelling, quantification of uncertainties and data analysis. They will work closely with a large delivery team at the UK Centre for Ecology & Hydrology, British Geological Survey and Imperial College London
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manage compliance risks, analyse student data, and contribute to a high-quality student experience. Working closely with colleagues across the University, you will help shape policy, support preparations
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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include developing a protocol, data screening, analysis and synthesis of qualitative research data, and writing the work up for publication. Successful candidates will also be expected to support patient
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using CAD which combined large-scale cellular simulations and machine learning (unpublished data). These modelled cells demonstrated significantly boosted metabolic production, and we are aiming to prove