112 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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using advanced methods. Research Preparation: Lead and assist in preparing research studies, grant proposals, ethics applications, and presentations. Research Management: Coordinate research activities
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computational statistics or machine learning is optional but highly relevant) ● Proficiency in programming languages (R, Python, C++, Java or Julia). ● Experience with mathematical and statistical methods applied
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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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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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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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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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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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) The Centre 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
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base and subbase within an interlocking paver pavement system Numerical modelling of pavement base and subbase for interlocking paver pavement system with field validation Develop state of the art
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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