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of nanomaterials. Programme and manage research activities, including experimental design, data analysis, and interpretation, ensuring alignment with project goals and timelines. Develop and implement machine
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) at the Novena campus. Flexibility to work at either site, depending on project and operational requirements, is essential. Key Responsibilities: Design, plan and conduct experiments using structural and
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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. Applicants must have proof of excellence in research. Applicants should aspire to develop successful academic career. Applicants are Singapore Citizens. Further information on the programme – including
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based