1,875 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "BioData" positions in Singapore
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that fo-cuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions,...
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administrative support to employees by answering benefit-related inquiries, assisting with forms, and helping employees navigate benefits-related administrative processes. • Maintenance of benefit plan
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of the program. Applications are to include: • Detailed Curriculum Vitae (including research, teaching, professional practice, administrative experience) • Publication and/or Project list • Statement
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degree in maritime transport, marine technology, computer science, or a related field from a good university; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A
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Humanities, Arts & Social Sciences Digital capitalism and its impact on society and culture Use of computational, digital, and AI tools Digital and AI-driven creativity, cultural production, and conservation
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the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision
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Collect and analyze data pertaining to academic programmes at NTU and other top universities and other key metrics as inputs for progress assessment and decision-makings by college leadership. Collate and
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ranked amongst the top 15 universities in the world. CoE is a recognised leader in innovation and technology. To support and facilitate research projects and programmes at CoE, we are looking for suitable
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contribute to both operational and project initiatives. • Proficient in general software applications that facilitate work operations such as Microsoft Office programmes. • Familiarity with Success
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Communicating with stakeholders to understand business challenges and potential solutions Qualifications Doctorate degree in a quantitative discipline (eg. data science, computer science, computational biology