1,054 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions in Singapore
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. Manage the administrative aspects of flagship programmes and projects coordinated by OIE and NTU’s participation in alliances, including applications, programme coordination and operations, reviews
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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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. The candidate will be the key go-to person for industry engagement and partnerships, functioning as a liaison between programme office, partner institutions, and industry partners. The successful candidate will
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: Developing 21CC through arts-based embodied learning processes Project Introduction: This pilot research project aims to develop an arts-based embodied learning programme to complement the teaching and
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development and debugging experience Solid understanding of fundamental machine learning and AI techniques Knowledge of computer graphics and interface design Fluent in coding with generative AI Creativity
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and developing mitigation strategies for future-proofed silicon-level trust. Job Requirements: Minimally PhD or Masters in Electrical / Electronic / Computer Engineering with at least 6-8 years
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University offices, in compliance with NUS fundraising governance requirements. Maintain accurate records of gifts and donations and support reporting as required by Centre management. Educational Programme
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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the strategic adoption of metal additive
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed