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on analysing data using statistical and data science techniques Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal Generating research questions
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supporting documents for applicants who enroll for subsidized programs. Transfer data to active table and ensure data are accurate before freezing of statistics. Generate data for matriculated students who
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. Proficiency in experimental design and statistical analysis is crucial. Candidates should also demonstrate a solid understanding of machine learning techniques and their practical applications. Ability to work
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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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at the undergraduate and postgraduate level Job Requirements: PhD degree in a Computational or Statistics field Strong track record of research publication, commensurate to career stage Evidence of
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projection statistical models and interpretation of the results on a range of temporal (historical to future) and spatial (global to regional and local) scales. They will work collectively within a multi
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with the research design and statistical analyses Assist with writing progress and final research reports Contribute to research publications and presentations Engage in the dissemination of research
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quantitative research methods Proficiency in a statistical package (e.g., SPSS, R, Jamovi) preferred Clinical or research experience in the mental health field is preferred, but is not necessary Responsibilities
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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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Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field Expertise in survey design Proficient in statistical modelling and econometrics Research on the human