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Field
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School of Civil and Environmental Engineering is a school under College of Engineering and is a leading school for Sustainable Built Environment. The key objective of this position is to support the
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demonstrate expertise in seismic data processing and modelling, dense array analysis, distributed acoustic sensing, and seismoacoustics, and a strong track record of publishing impactful research in areas
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delivery of project objectives including interdependencies across work packages. *Track record of communication research to a wide range of stake holders. *Experience of devising new methodologies to solve
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iconography, and symbolic object design with specific reference to South Tyrol's research ecosystem -Develop concepts and design proposals for prize objects for the South Tyrol Research Award and Women in
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measurements that can be directly compared with echocardiographic assessments. A central objective of the project is to investigate the accuracy and limitations of current echocardiographic methods
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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on realising SONNETS' ambitious objectives. Researchers on our team contribute towards
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, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and
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anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and
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sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation, localisation, path planning, and collision avoidance algorithms