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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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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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statistical analysis Ability to take initiative to solve technical and logistical problems Ability to write reports and manuscripts to a high-level Flexible approach to working (including travel, hours
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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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at King’s College London has a distinguished scientific tradition in pure and applied mathematics and statistics. Since its foundation in 1830, it has established a reputation as a world-leading centre for
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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
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management and veterans' health. The successful candidate will have the opportunity to develop their skills in project management, data management, complex statistical techniques, disseminating findings and