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sustainable construction. • The successful applicant will be working with Assistant Professor Dr. Jinying Xu (https://cde.nus.edu.sg/dbe/staff/jinying-xu/) in the Cognition X Project lab (https://cognitionx
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, please view https://www.ntu.edu.sg/newri . We are looking for a Research Associate to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization. Key
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Project Officer to support the research, development, and implementation of 3D construction
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of emerging engineering schools (MIT report, 2018) and possesses a unique structure and mission within the vibrant nation of Singapore. SUTD features the integration of design with engineering, an intimate
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the brain. The key objective is to support efforts to identify how these interactions contribute to neurological disorders and to discover potential therapeutic targets. For more details, please view https
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unique structure and mission within the vibrant nation of Singapore. SUTD features the integration of design with engineering, an intimate student to faculty ratio, an innovative active learning pedagogy
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software architecture. Drive research and development of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and