661 computer-programmer-"https:"-"https:"-"https:"-"UCL" positions at Nanyang Technological University
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depth, academic rigour, and institutional support needed for a successful research career. Joining the NBS Research & PhD Office means being at the heart of a doctoral programme in one of Asia’s leading
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, committed to delivering impactful education and driving innovation in teaching and engagement. The candidate will be leading Nanyang Executive Education’s Public Programmes. Key Responsibilities: To take
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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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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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support to students associated with the project. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements
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Education & Mobility (GEM) Trailblazer Programme. Manage communication with inbound students’ and partner universities to address enquiries. Engage students for recruitment and provide assistance and support
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ensuring the smooth day-to-day administration of the Lien Fellowship programme, in line with NCPA and University strategic objectives. Key Responsibilities: Project Coordination & Implementation Participate
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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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for supporting the Manager in student support services, executing programme publicity and outreach activities and events, creating compelling copy in social media, programme reporting, and data analysis. Key
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other duties related to the research program. Job Requirements: A PhD in Computer Science or a relevant field. Strong background in deep learning, Generative AI, and multimodal learning. Strong