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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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field, such as statistics, biostatistics, or a related quantitative discipline. Experience in the design, analysis, and interpretation of clinical trials, particularly in the field of mental health
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in statistics with a strong track record in methodological leadership in digital trials to contribute to a globally pioneering programme focused on maternal and early childhood health. The post holder
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, distinctions, publications depending on career level). Desirable criteria Knowledge of managing research data and statistical analysis software (such as SPSS or STATA). Postgraduate degree in a relevant course
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, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
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domains. We are committed to open science, interdisciplinary research, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical
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data and statistical analysis software (such as SPSS or STATA). Postgraduate degree in a relevant course. Training and/or experience with relevant clinical and research methodology such as lumbar
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epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real