210 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Kent" positions 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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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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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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Job Description Job Alerts Link Apply now Research Fellow (Structural Engineering) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: The Built Environment
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Job Description Job Alerts Link Apply now Research Fellow (Advanced construction and sustainability) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and
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technologies for steel fabrication and construction ii. Experimental investigation of high-strength aluminium alloy structures iii. Development and testing of lightweight and long-span earth retaining and
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Job Description Job Alerts Link Apply now Research Fellow (AI in Structural Engineering) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and
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the brain. The key objective is to support efforts to identify how these interactions contribute to neurological disorders and to discover potential therapeutic targets. For more details, please view https
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characterization and theoretical modeling. Key Responsibilities: - Develop DLW fabrication workflows for hybrid photonic structures. - Integrate plasmonic nanoparticles and quantum emitters; characterize optical and
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to develop an online framework for assessing fatigue, structural integrity, and operability of multiple floating offshore wind turbines, supported by computationally efficient learning algorithms with