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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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in mathematical modelling and Bayesian inference while learning from three collaborating chief investigators. You will also build your publication record and professional networks through seminars
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, recurrent memory, Bayesian modelling, uncertainty quantification and machine learning systems. Emphasis will be on methods that design and implement new architectures for (auto-regressive) sequence modelling
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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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(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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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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and execution against government grant fund objectives. Develop and validate the business model, value proposition, market-entry strategy and customer requirements. Build OEM, distributor, clinical