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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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analysis, manuscript preparation and grant applications. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares. Appointments will be made on a yearly
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Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python Perform literature searches and scientific
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analyze ecological questions Good interpersonal and organizational skills Competent in ecological statistics and R (multivariate analyses, structural equation modelling, generalized linear mixed effects
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing
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. • Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include machine learning, regression
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. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research experience with a track record of publications in top-tier journals in the field Relevant insurance
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industry reports Present research findings to GAIP sponsors and the academic community Job Requirements: Ph.D. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research
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planning, statistical analysis and preparation of manuscripts for publication as lead author and conference presentations. Qualifications The applicant should: Have a PhD in Biomedical or Biological Sciences
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(Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well) • Proficient in statistics, data analysis and visualization