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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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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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, 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
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actionable insights generation. Responsibilities: In collaboration with the Departments of Statistics and Data Science, and of Mathematics, the Provost Office seeks Teaching Assistants/Course Instructors to
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schemes. Prepare reports for submission to various stakeholders. This includes data preparation and updating (collecting, cleaning, mining, and consolidating), statistical analysis and presentation
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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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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
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working ability; • Statistical knowledge and command at least one of the following programming languages: R/Stata/Python. • Experience in using spatial statistics and geospatial analysis tools
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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