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environments, and as active contributors to reflective communities of practice. The department bridges theory and practice through diverse research methodologies, including experimental studies, reflection-in
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-edge learning theories, and leveraging technology to enhance both online and classroom learning experiences. Responsibilities: Design and develop engaging and compelling digital learning content
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may be considered for a Research Fellow position Familiar with the Singapore education system (preferably with experience working with disadvantaged learners) Familiar with major theories in learning
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fundamentals of electrical engineering, in particular electromagnetics theory and numerical techniques Good written and oral communication skills We regret to inform that only shortlisted candidates will be
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, marking for assessments and student consultations. Requirements: At least a PhD degree; Candidates with strong relevant industry experience will be considered. Background in Mathematics or related field in
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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of computer science and engineering. However, we are particularly interested in candidates working at the frontiers of the following high priority area: Data mining, network analysis, graph neural networks, graph
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this introductory level course, students will learn the theory and practice of using type as a tool for communication, visualization and presentation within the context of a single page design. Emphasis is placed
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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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industry trends Qualification Education: Master’s or PhD in Data Science, Statistics, Energy Systems, Engineering, Applied Mathematics, or a related field. Experience: 3–5 years of experience in forecasting