954 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at National University of Singapore
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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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contribute to the design, execution, and interpretation of research projects • Perform computational analyses, including data processing, modelling, and interpretation of results • Contribute
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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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Information Job Type: 2-Year Contract Location: Kent Ridge Campus Organization: NUS Enterprise Department : NUS Enterprise Academy Job requisition ID : 30666 Apply now
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exchanges between relevant support staff o Maintain up-to-date data management and filing for reporting and analysis, including improving standard operating procedures • Continuous Improvement
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field, preferably with teaching and post-doctoral research experience and is able to contribute towards major collaborative programs in engineering. More Information Location: Kent Ridge Campus
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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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data-driven insights. If you thrive in a fast-paced environment and have a growth mindset, we want to hear from you! Key Responsibilities: 1. Monitoring and Evaluating Learning Quality Track and analyze