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, in Statistics, Computer Science, Applied Mathematics, or a related field. Some research background in Statistics or Machine Learning. Entry level candidates are welcome to apply Technical Competencies
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of “Research Assistant” for a research project related to statistical learning of time-series models. The successful candidate will work with Hemant Tyagi (NTU Singapore) and Chew Lock Yue (NTU Singapore) in
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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business needs. Job Requirements: Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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in focus group interviews and surveys for social science research Ability to run standard statistical tests (e.g., using SPSS or Mplus for regression analysis and SEM, etc.) Knowledge of advanced
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workshops and conferences, prepare manuscripts/reports) Conduct statistical analyses (including data cleaning, data visualization) of survey data Organise and participate in academic activities (i.e
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dengue, syphilis and SARS-CoV-2. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The role will focus on developing statistical and
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of research studies or clinical trials Conduct basic and intermediate statistical analysis where applicable (e.g., collating descriptive neuropsychological assessment results and cognitive domain evaluation
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environment with diverse learning opportunities. The role will focus on developing statistical and mathematical models to understand healthcare associated infections. We are looking for Research Associate