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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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to join the Division of Academic Computing & Information Services (ACIS) as Systems Analyst. This is a 9‑month contract position. What We Offer: A dynamic and collaborative work environment that fosters
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to support talent development pipelines. 4. Stakeholder Collaboration Ensure message consistency and strategic alignment across Programme Chiefs, Marketing, Admissions, and Business Development. Provide market
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At Nanyang Technological University, we are dedicated to driving innovation in research and education. As a globally recognised institution, we are committed to excellence in advancing science and technology for societal impact. We are seeking a Neuroimaging Technologist to support our...
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The Masters in Translation and Interpretation (MTI) programme within the School of Humanities at NTU Singapore invites applications for a full-time Assistant Professor position in Artificial
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visualizations using MS Power BI and Tableau. Requirements Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field. Those with 1–2 years of experience in
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Job Description Apply now Job Title: Manager - Faculty Events and Networks (1-year contract) Faculty of Law Posting Start Date: 09/03/2026 Job Description NUS Faculty of Law is widely regarded as Asia’s leading law school. We are committed to fostering a vibrant community and cultivating an...
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Job Description Apply now Job Title: Venture Architect Posting Start Date: 17/12/2025 Job Description Join us at National GRIP (Graduate Research Innovation Programme), Singapore’s national deep
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on Thurlings et al.’s models of feedback processes, most feedback in computer systems is cognitivist in nature. The advancements in LLMs appear promising in bridging this dialogic gap in feedback and learning