71 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at National University of Singapore
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. This project is a collaboration between research institutions and Ministries of Health across Asia , building upon the existing UNITEDengue (https://www.unitedengue.org/) . You will be responsible for developing
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international law. More on CIL can be found here: https://cil.nus.edu.sg/ About the Oceans Law and Policy Team: Ocean Law & Policy is one of CIL’s core programme areas and was established over 10 years ago. It
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laboratory in the Department of Chemical and Biomolecular Engineering (https://cde.nus.edu.sg/chbe/staff/zhu-guan-zhou/ ) pioneers advancements in new battery technology through innovations in electrode
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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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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storage. • Knowledge of structure-property relationships in redox-active molecules. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials
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Infrastructure Design, deploy, and maintain cloud-based and on-premise databases (relational and non-relational). Develop and manage ETL pipelines for structured data ingestion and transformation for analytics and
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. Qualifications & Requirements Bachelor’s Degree in Computer Science, Software Engineering, or related field. Strong proficiency in Python, C++, or Java. Solid foundation in algorithms, data structures, and
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data streaming, online learning, or real-time analytics frameworks. Solid understanding of machine learning algorithms, data structures, and numerical optimization. Experience with sparse data modeling