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simulate hydrodynamic and pollutant transport processes, their computational cost limits their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics
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Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration: Extensive technical and
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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research on human-environment interactions in freshwater ecosystems. There is an
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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observations and computational modelling to establish a robust framework for identifying which vortex-state particles reliably record the Earth’s magnetic field. The project is embedded in the Paleomagnetic
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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Institution: University of Roehampton (in partnership with LSE) Location: London (campus and partner-organisations) Funding: Full studentships (tuition + stipend) Overview The CRICA programme is a
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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration