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will use UK based electronic health records data to examine the causal effects of treatments by emulating, benchmarking and extending randomized trials in observational data. The post-holder will be
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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. The post-holder will participate in lab meetings, journal clubs, departmental research meetings, and co-supervise students. They will also present data at high-profile international and national meetings
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to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and
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epidemiological research. Strong quantitative data analysis skills and applied understanding of epidemiological principles are required. They must possess excellent interpersonal communication skills and be
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to using data to revolutionise our understanding of cancer risk and enable early interception of cancers (Queen Mary media & Cancer Research UK News ). You will use large primary care and other diverse
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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with Prof. Heath Murray at Newcastle University. The group has routine access to the Titan Krios microscopes at LonCEM and eBIC and an in-house computing infrastructure for data processing. About You We
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at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical