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modelling will be useful for evaluating these options. To that end, this team will develop a novel analytical simulation framework and use it to address these pressing questions, in close collaboration with
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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and wellbeing programme and an evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. The post-holder
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or create an account to save a job. Send job Key Responsibilities: Project planning, scheduling and management. Literature review of technologies and commercial market scanning. Modelling, simulation and
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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assays and techniques and establishing and managing mouse models of both breast cancer, glioma and other tumour types. This position offers an opportunity for open and collaborative engagement with other
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learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis Strong publication record Experience in women and children’s
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research