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microclimate and connectivity data provided by NUS Ecology and Geospatial teams. The Researcher may also be enrolled as a part-time PhD or Master’s student at NTU, in EEE or a related programme. Key
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The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant/ Project Officer will be supporting the Project Lead to deliver the project, ensuring that the overall...
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window and solubility, suitable for our DDR therapeutics program Discovery of lead small molecules for DDR therapy from Singapore medicinal plants Develop the synthetic route of lead small molecule
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, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields. You will be an integral member of an inter-disciplinary Science of
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, neuropsychology, neurology, psychiatry, cognitive neuroscience, AI in education, deep learning, biomedical engineering, computer science, and related fields. You will be an integral member of an inter-disciplinary
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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to understanding human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are seeking a highly motivated and talented Research Fellow
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the