263 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" research jobs at National University of Singapore
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, including the attitudes and lifestyle preferences of different population segments to frame household archetypes and ensure that data-driven models remain coherent with real-world dynamics and social-spatial
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Microelectronics) Posting Start Date: 17/11/2025 Job Description: Job Description The Electrical and Computer Engineering
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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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experiments to resolve variants of uncertain significance (VUS), performing data acquisition and analysis, and maintaining research databases. The role also covers procurement of laboratory consumables and
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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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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
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of Fine Arts to conduct user journey mapping and develop user archetypes through arts-based engagement approaches. • Triangulate quantitative and qualitative data to generate practice-oriented insights 2