616 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs in Singapore
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and device characterisation using optical microscopy, AFM, XRD and basic electrical measurements. Collect, log and carry out preliminary analysis of experimental data and report results. Maintain
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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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. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements. This role
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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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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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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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. 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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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
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling