270 embedded-system-"https:"-"https:"-"https:"-"https:"-"St" Fellowship positions in Singapore
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) quantum algorithms. Specifically of particular interest are algorithms for the NISQ (Noisy Intermediate Scale Quantum) Era and classical simulations of the proposed quantum algorithms. There is no
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expression, purification, and characterization (e.g., ELISA, SPR/BLI, FACS). Experience in hybridoma generation and in vivo mouse models of cancer is highly desirable. Strong analytical, organizational
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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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under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools
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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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Purpose The prestigious SUTD Presidential Postdoctoral Fellowship (SUTD-PPF) is a talent development scheme which aims to attract excellent recent PhD graduate Singaporeans to pursue a career in
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CINTRA is a French-Singaporean joint research laboratory, a CNRS International Research Laboratory under the French Ministry of Higher Education and Research. It is a collaboration between the
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The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development. The School of Civil
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Research Fellow (Centre for Multilateralism Studies) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research
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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