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statistical expertise and collaborative support for clinical trials and research conducted within the School of Life Course and Population Sciences. They will be responsible for supporting research
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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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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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qualitative data analysis software (Nvivo, MaxQDA etc) or statistical software (Stata, R). Knowledge of National Health Service and other public services in the UK. Candidates are strongly encouraged
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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