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human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
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Qualifications Education: - Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field - Postdoctoral
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Develop insights on programme performances to improve on the collective work environment and performance outcome. Contribute innovative including maximizing use of technology to improve overall performance
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. The candidate will engage in engineering design research and teaching at all levels, from first-year undergraduate to PhD level, in multiple design courses, either co-teaching, leading a team of colleagues, or
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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
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Requirements: Master’s degree in Electrical Engineering, Power Electronics, or a related field. Strong background in power electronics, converter design, and control systems. Experience with simulation tools
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, understand gaps, and proactively recommend digitalization options. He/she shall thrive to re-engineer processes by continuously looking for industry solutions, best practices in the market and opportunities
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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assessments and assignments that measure learning outcomes, skill acquisition, and behavioural readiness for employment. 2. Industry Intelligence, Learning Needs Analysis & Programme Innovation Actively scan