899 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Singapore
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the first 3 years. Remuneration is based on a 12-month salary structure, with annual variable bonus subject to the incumbent’s performance and the University/School’s prevailing remuneration policies
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The College of Engineering at NTU Singapore is seeking a dedicated and experienced Senior Executive to support its outreach, admissions, and marketing initiatives. In this multifaceted role, you
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publications in high-impact journals and represent the project at international conferences. Manage project milestones and deliverables in accordance with funding agency requirements. Contribute to technology
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The NTU Centre in Computational Technologies for Finance (CCTF) is a newly created Pan-University Centre co-managed by the College of Engineering (CoE) and Nanyang Business School (NBS
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: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields. Prior experience and proficiency in educational data mining and
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to: - Develop strategic plans and policies to guide AISG’s direction. This includes scanning of the international AI landscape to identify major technology trends that could impact AISG’s research focus. Work
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an emphasis on technology, data science and the humanities. We are part of the Lee Kong Chian School of Medicine at Nanayang Technological University. Our research focuses on uncovering the cellular, molecular
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. Comfortable with managing structured processes and adhering to established policies and administrative frameworks. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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Job Description Job Alerts Link Apply now Job Title: Research Fellow in Energy Studies Institute (National Energy System Modelling) Posting Start Date: 25/11/2025 Job Description: Energy Studies Institute The Energy Studies Institute (ESI) is a research institute at the National University of...
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Intelligence, Machine Learning, Biomedical Engineering, Data Science, or a related field. • Strong background in AI, deep learning, and/or federated learning, supported by publications. • Demonstrable