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execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform principal component analysis (PCA) and multivariate statistics to identify relationships between
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in online social gaming platforms Design and execute surveys and interviews to collect data (including participant recruitment) to address the relevant research questions. Perform statistical analysis
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recruitment) to address the relevant research questions. Perform statistical analysis on survey/experimental data, and Conduct thematic analysis on interview transcripts and open-ended survey responses. To lead
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statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team. Demonstrated commitment to strong research ethics and data integrity
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characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team
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principal component analysis (PCA) and multivariate statistics to identify relationships between demographic factors and product acceptance and integrate findings as feedback for beverage formulation. Prepare
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DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and
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statistical tools. Excellent written and verbal communication skills. Ability to work independently and collaboratively in a multidisciplinary team. Demonstrated commitment to strong research ethics and data
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of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data
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shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA