950 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at National University of Singapore
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(Senior) or Research Associate to join our team at CARE. This role offers an excellent opportunity to gain hands-on experience in project management, mixed-method research, data analysis, and scientific
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programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 12/02/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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an active role both 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
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the mechanisms contributing to sporadic ALS progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough
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processes, including application management, interviewing scheduling, and applicant communication. Provide information to prospective students, parents, and schools regarding admissions and financial aid
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to generate and process application data/documents, perform checks and verifications, liaise with donors, faculty and students to arrange interviews and preparing data for selection committee. Ensure awards
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on data collection, data cleaning, data management, and basic statistical analysis using SPSS and/or R, with opportunities to contribute to figure/table generation and external reports and publications
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sample integrity and compliance with regulatory requirements. - Assist in the development and optimization of biobanking workflows. 5. Data Management and Analysis: - Compile and organize experimental data
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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