209 web-programmer-developer-"U.S"-"U.S" Fellowship positions at Nanyang Technological University in Singapore
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The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials
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for highdensity topological information transfer. Key Responsibilities Demonstrate and measure the breakthrough concepts in nanophotonics using optical sources such a transmission electron microscope Develop high
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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) that supports the project titled Proposal and theoretical development of chip-scale chirped-pulse amplification systems. The RF will work on the project for the theoretical development of the chip-scale chirped
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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on a project on Li-ion battery ageing analysis and experiment testing. Key Responsibilities: Perform experiment testing for Li-ion batteries Development of heath indicators based on the experiment
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changes over their lifetimes. As forward-looking educators, we are in continual pursuit of providing a holistic education grounded in future-ready skills which will prepare our graduates for lifelong
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. Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects. Assist the PI in mentoring, supervising and
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on a project on the topic of onshore microgrid energy management system development. Key Responsibilities The roles of this position include: Development of the onshore microgrid model including static
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems