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Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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effects T cell ageing. This position would particularly suit a researcher with an interest in the application of complex bioinformatic analysis and machine learning to create a model of metabolic T cell
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PGT programmes. About You The successful candidate will have experience of using virtual learning environments, knowledge of learning technologies and skilled at working with computer-based record
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machine learning techniques to analyse large data sets held within the network, with the aim of producing novel findings within the field of metabolic ageing. The role will involve engaging with academics
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London. One focus of the Centre is to apply epidemiological and machine learning approaches to large-scale studies that have cardiac imaging available, such as UK Biobank, Study of Health in Pomerania
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on appointment) and maintain a valid SIA License and an Appointed Person First Aid qualification. In addition, the applicant should have a good command of spoken English, computer literate with knowledge
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external signed-for mail & parcels; Assisting in the upkeep of all outside areas e.g. cloisters, car parks, approach roads & inner quadrangle to ensure that all areas are tidy at all times; Undertaking
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contributions to student education and experience through curriculum development and the delivery of teaching activities in the subject areas of physics and artificial intelligence, machine learning, or data