410 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" Fellowship positions in Singapore
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establish a Climate Transformation Programme (CTP) at NTU. As part of this programme, the Climate Finance Cluster will assess the multifaceted business risks posed by the physical impacts of climate change
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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, including deep neural networks and physics-informed neural networks, to analyse large datasets from gyrokinetic and fluid simulations of plasma turbulence Develop and train reduced-order models that capture
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at developing generative AI tools to assist structural steel design. The Research Fellow is expected
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supervision of Professor Chuyang TANG, Department of Civil & Environmental Engineering (CEE). This position is embedded in the Tang Lab’s membrane research program, which focuses on the materials-level design
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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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Development of research hypotheses Plan and perform the development of valuation framework and advanced analytical tools connecting stock market information to corporate information Contribute
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also work closely with the Principal Investigators to help supervise and train junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial