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Field
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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, environmental, demographic, or spatial data. Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools. Have good organizational and communication skills and evidence of
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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enthusiastic research team. To be successful, you’ll have: PhD in Accounting, Economics, Finance, Management, Marketing, Information Systems and Business Analytics, Law or a closely related discipline
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of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional
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, behavioral economics, or a related social science discipline (completed no later than August 2026) Strong analytic and theoretical skills, with experience in survey, qualitative, and mixed-methods research
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submitting (new manuscripts and/or revisions) to the top OR journal listed above. • Proficiency in Python, particularly in optimization package usage and data-analytic related tasks. • Proficiency in