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Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Assistant. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome...
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages
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Job Description The National University of Singapore invites applications for Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo
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Job Description The National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Wang Chi Cheung and Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to...
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://lkyspp.nus.edu.sg/our-people/faculty/joelle-fong ) who is the Principle Investigator for the 5-year research programme covering 2023-2027. The successful candidate should have a background in statistics and
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include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has
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experts. Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others
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and advanced statistical methods, according to the PI’s research directions • Develop data visualization and written reports for presentation and communicate research findings with internal and external
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comfortable and proficient with statistical software such as STATA, and advanced programming languages. The candidate will be a member of the ACI research team, working under ACI Director, Professor Paul Cheung
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in future cyclone risk in the Asia Pacific and apply novel statistical techniques to enable policymakers and planners to understand plausible worst-case scenarios with rising sea-level and changing