181 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at King's College London
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, informatics, and data science as applied to both mental health and general medicine research. We have significant national and international collaborations, and our research has growing impact into all areas
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. This role is based within the Faculty of Life Sciences and Medicine, in the Department of Infectious Diseases, which brings together expertise across microbiology, immunology, clinical sciences, data science
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’ to ablate. Here, we aim to further develop, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models
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ensure that all courses are scheduled efficiently to meet business needs and that attendees are booked and reminded to attend. You will be able to produce data and metrics to support the training that has
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approaches, and implement them in partnership with technical teams. This will involve designing and developing accessible user interfaces and advanced data visualisations for search-intensive and highly
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trials (and other experimental trials as appropriate), Convey research findings, including complex quantitative information, in a clear and actionable way Develop and maintain expertise in behavioural
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that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models to provide pre-procedural ablation target guidance. This will provide essential confidence and data to guide a follow
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accurate and timely information, and facilitating effective collaboration to ensure prompt and professional resolution of disputes or misunderstandings. Payment Arrangements: The role involves evaluating
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Big Data in Culture & Society, Digital Culture & Society and Digital Asset & Media Management, as well as our MA/PhD research degrees in Digital Humanities. We are the largest and most prestigious
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. This role will involve enhancing the operational efficiency of various building systems by integrating them into a centralised HUB that provides real-time data analysis, early warning systems, maximising