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Bachelor/Master Degree in Sociology, Psychology, Economics or related field A willingness to learn quantitative research methods Good English writing and communication skills - essential for data analysis
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solutions to climate change, and quantify economic impact of climate policies. The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster
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Nanyang Technological University (NTU) is a leading research-intensive university in Singapore. The host research group focuses on nanophotonics, plasmonics and quantum photonic devices. We are looking for a SASEAF Postdoctoral Fellow to develop hybrid plasmonic–photonic nanostructures that...
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, and mass transfer) of hydrogen storage and release processes. Support system architecture definition, thermal loop design, and control strategies for integrated systems. Conduct techno-economic and
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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations....
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for Multilateralism Studies (CMS). The successful applicant will be expected to investigate the impacts of heightened geopolitical competition on (1) economic and trade multilateralism, (2) security cooperation in
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems
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, evaluate the implications of carbon pricing and public procurement, and facilitate the transition to a low-carbon economy. The Senior Research Fellow will be responsible for developing integrated approaches
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, in addition to the Nanyang Centre for Public Administration. Disciplines include economics, psychology, sociology, politics and global affairs, communication, information and media studies, history
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modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts