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the biomedical ecosystem. This research programme marks a significant leap in healthcare research, driving advancements in digital health and AI-powered diagnostics through cutting-edge synthetic data generation
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and behaviours in public spaces, nature-connectedness and health in cities, and mobility and health in cities. Candidates should possess a strong interest in applying a human lens to transdisciplinary
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: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other quantitative policy tools. Strong
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Infectious Disease Modelling for Dengue & Zika Genomic Epidemiology and Surveillance About the Role: Saw Swee School of Public Health at the National University of Singapore (NUS) is looking for a highly
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of References Allowed Keywords statistics, biostatistics, computer science, economics, health care policy, causal inference, machine learning
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/guidelines . Minimum Number of References Required Maximum Number of References Allowed Keywords statistics, biostatistics, computer science, economics, health care policy, causal inference, machine learning
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-time position in the Saw Swee Hock School of Public Health: Research Fellow (NUS Advance-ID) We intend to recruit a full-time biostatistician for the lead faculty of the ADVANcing Clinical Evidence in
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data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics. The postdoctoral
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The Research Fellow (Cancer Data Analytics & Health Services Research) will join the All-Island E-Health Hub for Cancer at Queen’s University Belfast, working in partnership with the Northern
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position for a Research Associate/Fellow (Data Scientist) in Data Science at the Department of Family Medicine (DFM) within the National University Health System (NUHS). The role is focused on leading data