1,463 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions in Singapore
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outstanding payments. - Process and administer funding and subsidy claims (e.g., SSG credits), ensuring accuracy, completeness and timely submissions. - Monitor programme level budgets and Profit-and-Loss
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-haves: Bachelor’s Degree in Medical Imaging/ radiography or equivalent. Minimum number of years of experience required for the role is 3 to 5 years. Able to perform MRI scans. Manage the scheduling and
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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. Duties and Responsibilities 1. Collaborate with various HR functions / CoEs to define, assess business needs, and implement forward-looking digital solutions to enhance HR performance and operational
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-based health policy development. • Prepare high-quality project outputs, including peer-reviewed publications, technical policy reports, and web content. • Drive stakeholder engagement and oversee project
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for maintenance, operation, and upgrading of facilities. Oversee service level agreements and service improvements, and other areas Oversee IT operations (Server) supporting and collaborating with the teams, and
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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movements into classroom teaching to enhance attention, engagement, and cognitive performance. Grounded in the science of embodied cognition, the study aims to co-develop and evaluate PAL pedagogies tailored
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programme coordination. Experience in higher education, research administration, or public-sector programmes preferred. Strong organizational skills, with the ability to manage multiple projects
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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed