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(Teaching & Learning), CTLT Qualifications at least a master’s degree in education or a related field - knowledge of latest developments, trends and theories in academic development; education, education
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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Adjunct Lecturer, MWM FNCE602 Analysis of Equities and ETF, 2025-26 Session 2 - (25000077) Description A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world class research and distinguished teaching. Established in 2000, SMU’s mission...
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on the use of arts and creative approaches in the context of ageing and aged care • The Continuum of Care: A Systems Perspectives - multi-disciplinary overview of a range of perspectives, theories, and
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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to support efforts to conduct mobility research for paving the way for Singapore's future land transport system. Key Job purpose Research into application of classical flow theories in modelling a
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Junior Researcher (International Centre for Political Violence and Terrorism Research) - 2 The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University, Singapore, is a leading research and teaching institution in strategic and international...
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations