101 Statistics "University of Strathclyde" research jobs at National University of Singapore

Senior Research Fellow (Data Science & Statistics)

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

Research Fellow (Information Theory, Statistical Signal Processing, and Machine Learning)

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...

Research Assistant (Statistics)

://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

Research Fellow (Pharmacy & Pharmaceutical Sciences)

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

Research Fellow (Quantitative)

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

Research Assistant (Quantitative)

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

Senior Research Fellow (Bayesian Optimization)

statistics and machine learning More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Industrial Systems Engineering and Management Employee Referral

Research Assistant, Dept of Marketing

, Statistics, Computer Science, Applied Mathematics, or equivalent. Proficiency in statistical software (Python or R) and relevant visualization techniques. Experience in conducting experiments, whether in field

Research Assistant (Cancer and Public Health)

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

Research Assistant/Associate (Data Analytics and Mathematical Modelling)

efficient utilization of healthcare resources • Supportive mentors and colleagues • Flexible work schedule Requirements: • An undergraduate or master’s degree in related fields such as Statistics/ Economics