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Field
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-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and
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directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated
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The AI-Driven Energy Chemistry research group at the School of Chemistry, Chemical Engineering, and Biotechnology (CCEB), Nanyang Technological University (NTU), Singapore, is dedicated
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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering
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directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated
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Job Description Job Alerts Link Apply now Research Fellow (Operations Research) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Industrial Systems Engineering
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. To develop and assess geothermal-driven cooling architectures through modelling, optimisation, and techno-economic analysis, supporting low-carbon cooling solutions for Singapore’s data centre sector. Job
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, conduct wind-tunnel-based experimental fluid mechanics studies, support CFD-driven design refinement, and analyse boundary-layer and drag-reduction performance data. The role involves close collaboration
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models