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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical
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healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical, epidemiological, and data science perspectives. The postholder
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About Us The Research Department of Digital Twins for Healthcare at King’s College London is a multidisciplinary hub within the School of Biomedical Engineering & Imaging Sciences, dedicated
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clinical imaging and electrical data from VT ablation patients to validate and refine our computational technology to create a software as a medical device, ready for clinical evaluation. We will then
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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Job id: 136346. Salary: £45,031-£52,514 per annum, including London Weighting Allowance. Posted: 22 January 2026. Closing date: 12 February 2026. Business unit: Faculty of Life Sciences & Medicine
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About the role The Centre for Oral, Clinical and Translational Sciences (COCTS) at King’s College London brings together clinical and discovery research aimed at improving oral and dental health