702 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL" uni jobs in Singapore
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Job Description Job Alerts Link Apply now Research Engineer (Overtopping - Structural Damage) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and
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at least a bachelor’s in civil or mechanical engineering or related disciplines. • A master’s degree is preferred. • Have fundamental knowledge structural engineering and structural analysis. • Have
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Job Description Job Alerts Link Apply now Job Title: Research Associate (Construction Material) Posting Start Date: 04/03/2026 Job Description • Development of sustainable construction materials
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU), Singapore, is a leading school for Sustainable Built Environment. The School plays an integral role
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Adjunct Lecturer, MWM FNCE619 Structured Products, 2025-26 Session 5 - (2600003C) Description A premier university in Asia, the Singapore Management University (SMU) is internationally recognised
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500
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The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The research Associate will work in the field of water sustainability with Asst Prof
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Singapore's AI efforts. The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven AI Engineer to execute our programmes, lead AI-based
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innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models