832 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" "Univ" positions at Nanyang Technological University
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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& Culture Strengthening Support administration and collection of wellbeing survey data across units. Monitor participation and support analysis of survey and feedback data to inform programme improvements
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SPMS conducts cutting-edge research in quantum science and technology, with strengths in quantum information theory, quantum communication, and quantum resource theories. We aim to advance both
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skills, as well as the ability to work independently. As the assessment tools have already been established and implemented, the project is now at an exciting stage focused on high-quality data collection
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
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the Open Science and Research Services function with the Office of Information, Knowledge and Library Services (OIKLS). The successful candidate will provide research services to support NTU researchers in
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Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will focuses on analyzing equipment degradation time-series data and developing forecasting workflows using statistical