674 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Nanyang Technological University
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU), Singapore, is a leading school for Sustainable Built Environment. The School plays an integral role
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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in Communication, Human-Computer Interaction, Information Science, Psychology, or a related field. At least 1 year of relevant experiences in doing research in a relevant field. Familiarity with social
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administration/support depending on research project requirement and development progress. Job Requirements: Masters / Bachelor's Degree in Electrical / Electronics / Communications Engineering / Computing from
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motivated early-career scientist/engineer as a Project Officer who is interested in developing bioprocess for plastic-degrading enzymes using E. coli as a host. The Research Associate will be an individual
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an emphasis on technology, data science and the humanities. The Programme Shared Services (PSS) provides specialized research administration support to Lee Kong Chian School of Medicine’s 8 research programmes
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Join a Leading MA Programme in Museum Studies & Curatorial Practices Position: Administrative Coordinator (3 years contract) Location: NTU Centre for Contemporary Art, Singapore and NTU Campus We
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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 position is based at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE), a leading interdisciplinary research centre focused on understanding and controlling biofilms and
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, imbalanced-data, or distribution-shift settings. Job Requirements: PhD in Computer Science, Data Science, or a closely related field. Strong research background in machine learning and artificial intelligence