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clinical predictions. Uncertainty quantification – the postholder will develop and apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by
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of clinical studies 9. Experience of database management and data analysis using statistical software 10. Experience of research interviewing, including psychological measures and clinical assessments
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integration analyses as well as statistical analysis of data. The main purpose of the role encompasses performing data integration and statistical analysis while offering comprehensive data-driven decision
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that are at the forefront in the media and conduct basic statistical analyses quickly to inform a Centre/programme response. Preparing data reports for the project leads Conducting and supporting data analysis (e.g., multi
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require extensive data cleaning expertise and will apply advanced statistical techniques including predictive modelling, natural language processing and the development and validation of an explainable
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slide image data for digital pathology approaches. Applicants should have a strong computational background and expertise in dealing with large datasets. Excellent programming, data analysis, statistics
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and analysis. Competent in the use of standard statistical analysis packages. Desirable criteria Experience of constructing tissue microarrays. Experience of performing SNP array analysis. Full details
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management Experience of working with FFPE tissue specimens Competent in the interpretation and technical validation of results Competent in the use of standard statistical analysis packages Desirable criteria
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, providing information and advice, drafting reports, collating and analysing information and statistics and contributing to reports required by the funder, and internally by King’s. The CDT Manager will
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: managing the annual cycle of work, providing information and advice, drafting reports, collating and analysing information and statistics and contributing to reports required by the funder, and internally by