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We are looking for experienced part-time lecturers with the relevant expertise to teach in the School of Civil and Environmental Engineering. MSc Programme – Sustainability and Environmental
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Requirements: PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical
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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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(PhD) (completed or near completion) in Human-Computer Interaction (HCI), Communication, Computer Science, Information Science, Psychology, or a related field. Proven track record with publications in
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Junior Researcher (Social Cohesion Research Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research, one of the largest EEE schools in the world and ranks 10th in the field...
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, administration, and delivery of NTU’s FlexiMaster (FM) programmes, Summer School, and other bespoke initiatives. Working closely with the Assistant Chair, Programme Director (PD), and Senior Assistant Director
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Junior Researcher (Studies in Inter-Religious Relations in Plural Societies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University
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The School of Social Sciences is looking for Part-time Lecturers (PTL) who will be responsible for conducting lecturers, tutorials and assessments so as to impart practical knowledge to students of the Master of Science in Applied Economics. Key Responsibilities: 1. Teaching Duties: Conduct...
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low