168 systems-science-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high
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The Energy Research Institute @ NTU (ERI@N) is a university-level research institute dedicated to advancing innovative energy solutions for sustainable cities, industrial decarbonisation, and
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an emphasis on technology, data science and the humanities. The Luo Lab, based at LKCMedicine, Nanyang Technological University (NTU), Singapore is seeking a highly motivated, goal-driven, and team-oriented
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The team is seeking a Research Fellow/Postdoctoral Fellow in the area of microfluidic engineering and instrumentation development for cell-based biological analysis and sorting. Under the co
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The Aumovio-NTU Corp Lab is a strategic research collaboration between NTU and Aumovio, focusing on developing technically advanced solutions in areas such as sustainable materials engineering
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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Perform first-principles calculations on bulk systems, surfaces, and nanostructures as required. Develop
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, HTS screening, genome engineering, single cell cloning, to develop and optimise engineered cell systems Perform bioprocessing, cell-based assays, FACS, multi-omics and analytical workflows to assess
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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Develop and validate finite element model of protonic ceramic electrolysers (PCECs) Develop generative AI
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict