1,755 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions in Singapore
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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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excellence to join our graduate programme team. In this key role, the successful candidate will be responsible for leading and overseeing the administrative, academic, and operational aspects of the Graduate
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training of volunteers for the AWE program. ▪ Develop a tiered curriculum to train, refresh and engage volunteer leaders. ▪ Lead and conduct face-to-face volunteer training session that combines elements
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meaningful, forward-looking outcomes. Job Description As the Safety & Health Programme Manager for the following hazard areas: Chemical Safety & Health Programme and Physical Safety Programme (eg Noise hazards
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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Job Description Job Alerts Link Apply now Temporary Admin Support Staff (11 months) University-Level Unit: Arts & Social Sciences Faculty/Department-Level Unit: Dean's Office (Arts & Social Sc
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The School of Civil and Environmental Engineering (CEE) trains and educates professional engineers to solve multi-faceted problems that affect our daily lives and our planet. Our programmes
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applications for the position of Assistant Manager to join our dynamic team. The Assistant Manager will play a crucial role in supporting the Master of Science (coursework) academic and program management tasks
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and technical assets that uplift SAIC capability over time. Qualifications Advanced degree in computer science, engineering, data science, or equivalent practical experience. Minimum 5 years in software
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems