862 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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into workable engagements. Explore, pilot and document technology-enabled research processes (e.g., AI-assisted literature scanning and synthesis tools), and support Centre Management in developing improved
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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problems in areas like NLP, Computer Vision, or on tabular data. Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation
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modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts
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and Electronic Engineering, Nanyang Technological University. Key Responsibilities: Establish a theoretical framework to study the charge generation and transport in tribovoltaic processes using
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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 School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
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Join Our Team at the NTU Chinese Medicine Clinic Established in 2009, the NTU Chinese Medicine Clinic serves as a TCM Board approved teaching clinic for the programmes in Biomedical Sciences and
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of programme logistics, management of learner support, and assistance with financial administration. Responsibilities: Programme Administration & Logistics Coordinate the end-to-end logistics for all CET
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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