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Assistant to join the Unit for Medical Statistics (UMS) in the School of Life Course & Population Sciences. The postholder will contribute to the work undertaken by existing staff and take day-to-day
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for the South African context. This post will be offered on a part-time (1 day per week), fixed term contract for 6 months. Key responsibilities Carry out statistical analyses of an existing risk/ resilience
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EMG signal processing to extract relevant features related to diaphragm muscle strength Perform statistical analysis to evaluate the relationship between MMG/EMG-derived indices and clinically measured
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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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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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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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sciences (e.g. psychology, health economics, statistics, informatics, genetics) that underpin research at the faculty; and expertise (psychology, service research and improvement science) that improves
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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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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