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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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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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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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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
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conducting high-quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge
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multidisciplinary team conducting high quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods
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clinical epidemiologists and contribute significantly to the statistical analysis and subsequent presentation of results from large scale national and rich local health record data resources. The Associate
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in using a range of statistical techniques and report writing suitable for quantitative psychological science research. Confident presentation skills and the ability to clearly and effectively pass on
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. Experience in human factors, with a bias towards cognitive psychology, and experience in experimental design and statistical methods and their application is essential. You will have knowledge of a wide range
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are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems