612 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" research jobs in Singapore
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with minimal supervision and also collaborate with others. Applicants with prior writing experience are encouraged to submit a portfolio with their application documents. More Information Location: Kent
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed
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. Key Responsibilities: Setup, operate, and maintain advanced femtosecond laser experimental systems. Perform optical measurements and data acquisition for research projects. Analyze experimental data
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. Support human-centered behavioral, social, and digital health research through qualitative and quantitative data collection, including interviews, surveys, experiments, and participant engagement. 2
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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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written and spoken English and Tamil is required, to conduct data collection and analysis in both languages. Familiar with the Singapore education system Familiar with qualitative and quantitative research
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written and spoken English and Malay is required, to conduct data collection and analysis in both languages. Familiar with the Singapore education system Familiar with qualitative and quantitative research
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or above preferably in Social Science, Learning Sciences, Education, Psychology, Data Science, or a related field: Familiar with the Singapore education system Familiar with qualitative and quantitative
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context