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Social and Historical Sciences. For more information see www.ucl.ac.uk/about This Post is for a Research fellow joining the UNESCO Chair in Disaster Risk Reduction and Resilience Engineering team, https
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technology risk in Singapore and internationally, in addition to providing support in project and grant management, stakeholder liaison and outreach for IPUR. Responsibilities will include contributing
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) at Nanyang Technological University is seeking a Principal Research Fellow to lead the research and commercialization activities of the 4D printing technology. The role will translate the project’s research
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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of Medicine. It
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, prototypes, and trial systems. Identify delivery risks and recommend adjustments to scope, sequencing, resources, or partner responsibilities. Guide researchers and engineers without necessarily holding formal
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power grid operation considering low-probability-high-impact contingency events Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system risk analysis
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
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result prototype for analysing platelet activity for the diagnosis of patients at risk of thrombosis leading to heart attacks and strokes. Microfluidic and system engineering methods will be used
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within the school of Chemistry and Chemical Engineering and contribute to a feasibility study for digital material intelligence for a circular space infrastructure. The post will be based within the School
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models