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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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Invention Agency (ARIA), working at the intersection of Isabelle/HOL, the seL4 verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally-verified
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skills, including econometric and statistical methods, and experience of analysing labour market data. We would particularly welcome experience of using large-scale survey, administrative or linked
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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Specification A PhD relevant to the research area (or near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Fluency in
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of research and participant recruitment strategies Publish results of own research Supervise PhD students and research associates Capturing data from participants and their families Contribute to the Department
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at risk. Most patients therefore present with advanced disease which responds poorly to standard treatment. Working alongside a UK clinical trial, we have generated large immune profiling data sets from
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PhD will also be considered. Essential Application Strong research expertise in at least one of the following areas: interactive theorem proving / formal verification; information-flow security