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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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statistics) 8. Experience with clinical research and understanding of research methodology 9. Experience with data analysis 10. Good interpersonal skills to develop and maintain effective working
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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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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