2,007 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Singapore
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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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potential changes or emerging trends in the Institute of Higher Learning (IHL) landscape. This includes staying vigilant to best practices in science education and research. Data Analysis and Reporting
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., website, newsletters) to showcase successful collaborations and pedagogical innovations. Monitor the progress of engagement initiatives, collect data and conduct analyses to evaluate the impact and
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. Perform data management, large-scale statistical analyses, and ensure high standards of documentation and reproducibility. Work effectively with colleagues across the CTP and with local and international
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optimise finance systems, championing data-driven insights. Lead, motivate, and develop the finance team. Foster a collaborative, service-oriented culture and manage change for new processes and technologies
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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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education, public sector, or innovation environments. Exposure to HRIS systems and process automation. Track record in candidate experience and stakeholder management. More Information Job Type: 2-year
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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