83 parallel-programming-"EPIC" Fellowship positions at National University of Singapore
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, efficiency, and equity through diverse stakeholder engagement. The Centre has launched the "Digital Healthcare Transformation (DHT) Initiative," a multi-year program to boost public-private partnerships in
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and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under
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of Patient Reported Outcome Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support
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resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial
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, LSTMs, transformers). - A strong foundation in statistics and strong programming skills are also required. - Familiarity with academic teaching at the postgraduate level. Skills: - The candidate should be
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expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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creative postdoctoral researcher to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School
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deep thinking research, advanced development, and fast-paced entrepreneurial execution. Applicants should be fluent in the relevant state-of-the-art research with outstanding programming skills and
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career in academia or in the quantum industry. The open position is extremely well funded by Singapore’s ambitious Quantum Engineering Programme and Competitive Research Programme. The PI hold the
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources