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research in computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics
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secondary datasets). Apply advanced analytical techniques (e.g., econometrics models; AI tools; MCDA; cognitive mapping) to generate robust, actionable insights. Design innovative financing channels and
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed