1,464 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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, calibration, and performance characterization across various environments. Perform controlled laboratory experiments and real-world data-collection campaigns, ensuring high-quality datasets for research
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AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). Hosted at the Nanyang
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communications efforts. Lead engagement with faculty to shape the institute’s thought leadership agenda; define priority narratives and content pillars, proactively surface story opportunities, and commission high
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: Research Staff Location_ONB: Outram Campus Posting Start Date: 06/10/2025 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery
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for the role of Research Assistant with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and
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a high-tech satellite ground station at the National University of Singapore. The Centre operates multiple dish antennas that track, receive and process data from remote sensing satellites orbiting
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also work closely with the Principal Investigators to help supervise and train junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity
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), organizing activities related to undergraduate matters (e.g. STEER programme), etc. • Overall admin in-charge of alumni affairs, with specific roles to organize and manage activities related to alumni
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project amendment requests and yearly reports Administer external research grants hosted at NAII Undertake finance-related tasks as assigned including processing invoices and procurement Perform covering
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health data. The successful candidate will play a central role in designing and implementing AI models, federated learning workflows, and computational pipelines, with opportunities to contribute to high