829 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at Nanyang Technological University in Singapore
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an emphasis on technology, data science and the humanities. We are part of the Lee Kong Chian School of Medicine at Nanayang Technological University. Our research focuses on uncovering the cellular, molecular
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buses, communication networks, power engineering simulations, embedded C and Python programming. Competent in soft skills / general personality traits e.g. information visualization, interaction design
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information systems, and tools. Effective communication and interpersonal skills, capable of maintaining robust working relationships. Added Advantage: Experience working in research institutes or a university
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emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process
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towards operational productivity. Analytical experience with data and information. Experience in database and process management. Meticulous with high attention to details. Strong communication, good
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an emphasis on technology, data science and the humanities. The Luo Lab, based at LKCMedicine, Nanyang Technological University (NTU), Singapore is seeking a highly motivated, goal-driven, and team-oriented
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essential. Closing Date The closing date of the advertisement is 6 April 2026. We regret that only shortlisted candidates will be notified. Other Information NIE staff can take chartered buses at their own
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
decision-support systems and language interfaces. Develop GenAI POCs with safety-critical application as central focus. Curate, process, and analyze air traffic and domain-relevant textual data. Design and
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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Information Technology, Computer Science, Business Information Systems, or a related field. Candidates with a Diploma and relevant experience may also be considered. Familiarity with higher education systems or Student