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reports. Qualifications Successful candidate should have the following qualifications and capabilities: Bachelor degree in Data Analytics, Applied Statistics or Mathematics, Computer Science or another
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of public health interventions and/or health technologies; Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence; Economic theories to support
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and pursue grant opportunities to expand the research portfolio and impact. Qualifications A MD or PhD in statistics, biostatistics, epidemiology, data science, public health, mathematics, social
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Pax) Preferred Proficient in using at least one statistical software package (e.g., SPSS, R , Stata, M plus) Experience in working with databases. Experience with Qualtrics Familiar with major theories
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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in all areas of Computer Science and Engineering. However, we are particularly interested in candidates working at the frontiers of the following high priority areas within Computing: Systems; Theory
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for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working
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outreach programmes. Qualifications Degree in a field with a quantitative focus (computer science, information systems, data science, statistics, mathematics, physics, engineering, operations research
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science, technology, engineering, and mathematics includingmedicine (STEM). Through AI4X-PDF, we aim to cultivate the next generation of research leaders working at the intersection of AI and STEM, driving
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and poverty that mark the human experience. Through critical engagement with various disciplinary perspectives and lived contexts, it considers the ways that wealth and poverty intertwine in theory and