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statistical models and test the models and metrics; Summarize the main findings from the experiments/surveys, hypothesis testing, models and metrics; Prepare for the reports and slides/posters
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Division of Physics and Applied Physics (PAP) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Assistant. The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome...
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages
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non-market-based conservation measures through data collection, analysis, and dissemination of findings Handle acquisition and processing of spatial data, statistical analyses, report writing and
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, PowerPoint) Basic knowledge of statistics and SPSS. Able to work independently with minimal supervision Able to work cooperatively in teams Proactive, willing to learn, reliable and able to manage concurrent
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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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(socio)linguistics an advantage Familiarity with research on bilingualism, multilingualism and language contact an advantage Experience in using Praat software an advantage Experience in statistical data
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literacy Knowledge of managing quantitative data and basic statistical knowledge We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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) in fields like statistics or applied mathematics, data analytics, physics or relevant subjects or at least 3 years of experience in applied mathematics, data collection and analysis, data analytics
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at risk Advance certification in culture or language studies will be added advantage Prior experience with qualitative data analysis Good knowledge in MS office, statistical analysis using SPSS/R or Altas