2,048 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" positions in Singapore
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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Description To augment OAR’s Data & Systems (D&S) team and take on the management of the Alumni CRM (Blackbaud CRM) and Event System (Gevme) allowing existing D&S staff to undertake the migration of the Alumni
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processes for postgraduate students: a) Verify and analyse applicant information for accuracy, relevance, and completeness to ensure informed decision-making. b) Database management–maintain data
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Conduct data acquisition campaigns, collecting synchronized
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committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF
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, valuations, funding rounds, company status and milestones as well as key contractual commitments. Manage and curate portfolio data within the CRM system, ensuring data accuracy, consistency, and timeliness
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve