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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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responsibilities of the position include: - Single-cell and single-nucleus RNA-seq analysis - Spatial transcriptomic data analysis - Designing novel statistical methods for single-cell and spatial transcriptomic
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datasets to address issues related to cancer care and population health. Candidates need to be able to understand statistical modelling, have a strong mathematical background, and be fluent in R programming
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non-market-based conservation measures through data collection, analysis, and dissemination of findings Handle acquisition and processing of spatial data, statistical analyses, report writing and
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, PowerPoint) Basic knowledge of statistics and SPSS. Able to work independently with minimal supervision Able to work cooperatively in teams Proactive, willing to learn, reliable and able to manage concurrent
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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