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About the Role Applications are sought for the post of Senior Lecturer / Reader in Medical Statistics / Epidemiology, in the Centre for Advanced Cardiovascular Imaging within the William Harvey
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. This data will help shape paediatric-specific T2T endpoints and facilitate the development of personalized treatment strategies. You will apply advanced statistical and machine learning methods, and your
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analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre . The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High
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-create solutions to research challenges across biomedicine and health with a range of stakeholders using techniques from machine learning, artificial intelligence, data science and statistical and
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with IDDO statisticians and clinicians to certify the data is in the format required for statistical analyses. It is essential that you hold an undergraduate qualification in a scientific or heath
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in AI. This may involve adversarial and/or distributional robustness; probabilistic/statistical verification and certification; (multi-agent) reinforcement learning and stochastic control; Bayesian
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is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
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researchers currently using the resource. To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion), in epidemiology, statistics or a related subject. Proficiency in
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a hybrid manner. Do you have excellent numerical skills, with experience of using statistical or predictive techniques? Do you have a keen interest in using data science for the public good? Do you
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health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real