659 parallel-computing-numerical-methods positions at National University of Singapore
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upon previous literature, research best practices, methods and modelling techniques (qualitative and quantitative) Leading and training the research team(s) Project management and execution of required
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numerical skills. Proficient in Microsoft Excel and PowerPoint. Working knowledge of SAP S4 Hana, Power BI and RPA will be an added advantage. Possess strong customer and communication skills in managing
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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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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program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence economic decision-making among individuals and households. The Principal Investigator
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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1, 2026, as a strategic merger of two mature Duke-NUS centres, namely, the Centre for Quantitative Medicine (CQM) and the Centre for Computational Biology (CCB). The incoming faculty member will also
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capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program
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motivated Research Assistant to join our research team on the project titled “An Integrated Multimodal Quantification Method to Designing Landscapes for Well-being”. This project aims to extend upon
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are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program (2024-2028) which