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qualitative or quantitative methodologies. Knowledge of statistical analysis tools (e.g., SPSS, R) and/or qualitative software (e.g., NVivo, MAXQDA) is desirable. Strong organisational skills with the ability
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and approach – 2 x A4 pages maximum); - The teaching statement should explicitly address readiness to teach the following data science modules: • Applied Statistical Analysis (taught using R, two
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): Research experience with literature review, data collection from different stakeholder groups. Advanced skills in using Stata or R. Machine Learning experience Artificial Intelligence Excellent written, oral
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coordinate research, including supervising staff or students. Strong quantitative analysis skills and proficiency in statistical software (e.g. R, Stata, or SAS). Strong track record of peer-reviewed
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knowledge of statistical analysis using Stata, R or equivalent. Experience of randomised experiments/trials Experience of systematic reviews, preferably to peer-reviewed publication Project management
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management and analysis, preferably with health data or in a clinical setting. Strong technical skills in statistical programming, including with R, Python or other software for interrogating data. Ability