941 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of 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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ongoing experiments in the laboratory at CQT, including experimental setup, data collection, and lab-related tasks. The intern will assist the researcher and contribute to maintaining smooth operational
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to queries from prospective students and parents via email, phone, or chat. Provide accurate information on admissions requirements, deadlines, and processes. Escalate complex cases to the appropriate
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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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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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information and track interest levels from potential trainees. 3. Placement & Workshop Support • Manage registration for placement-related workshops, activities, and Care & Career programmes. • Maintain
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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