935 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at National University of Singapore
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for academic and administrative functions to ensure seamless operations. Process all finance-related claims for UG and PG units, Reporting & Data Management Prepare and maintain accurate faculty records
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Assistant (Senior) or Research Associate to join our team at CARE. This role offers an excellent opportunity to gain hands-on experience in project management, quantitative research, data analysis, and
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (CBDS/SES) Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
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maintain hybrid scientific data platforms, focusing on backend systems that support both cloud-based and on-premise infrastructures. The role enables secure, human-centred analysis and sharing of scientific
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internationally and locally in the core and emerging areas of Computer Science and Information Systems. We invite applications for a Research Assistant position in the area of efficient and interpretable machine
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Lin School of Medicine, NUS that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians
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information. ⦁ Ensure the lobby and front desk areas are always presentable and guest-ready. Team Support & Development ⦁ Work collaboratively with Senior Executives and other team members to ensure
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research tasks, including applying for and maintaining IRB proposals and participating on data collection, data cleaning, data management, and basic statistical analysis using SPSS and/or R, with
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in public health. Supervising and advising postgraduate students. Contributing to policy and community development efforts in the field of public health. More Information Interested applicants should
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake