188 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Singapore
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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membranes and study their structure-performance relationships. Through these contributions, the Research Fellow will support NTU’s mission of research excellence and societal impact through innovation Key
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/ Building / Civil and Structural Engineering / Facility Management with at least 5 years of relevant working experience in Facilities Management, Construction Management, Project Management, or equivalent
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a reputable University Experience in sensing, condition monitoring or structural health monitoring Proficiency in basics of programming languages such as C, C++ and Python We regret to inform
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and methods of construction, application of innovative digital design technologies for assessment of building performance and a vision the future of architectural building design and production
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experimental research on thin-film composite (TFC) membranes, with emphasis on polyamide interfacial polymerization control, nanoscale structure formation, and structure–property–performance relationships
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its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing laboratory
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participation, progress and venture outcomes. Prepare periodic operational reports for internal management and funding agencies. Collect structured feedback from participants and partners to inform programme
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, classification, summarization, and belief or sentiment measurement. Collecting, cleaning, merging, and managing large-scale structured and unstructured datasets using Python, R, Stata, and related tools. Assisting
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Theory (DFT) calculations using established codes (e.g., VASP, FHI-aims). Demonstrated experience with traditional methods for modeling atomic site disorder, such as special quasi-random structures (SQS