161 development-"https:"-"https:" Fellowship positions at Nanyang Technological University
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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for financial crime detection and anti-money laundering (AML). The successful candidate will contribute to the design, development, and validation of innovative approaches for detecting financial crimes
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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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geophysical investigation, geomechanical engineering, and machine learning. The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space
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. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and aging, and have multiple national and international
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development, management, implementation, and dissemination of research projects led by the Principal Investigator (PI), Professor Chen Peng. The Postdoctoral Research Fellow will work within the PI's research
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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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Join the Hyundai-NTU-A*STAR Corporate Lab and contribute to cutting-edge R&D in AI, Robotics, 3D Printing, and Digital Twins for advanced automotive manufacturing. This role focuses on developing
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methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures