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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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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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-to-design mapping, mixture density networks or MDN-based inverse generators will be employed to capture the multimodal distribution of the design space, enabling flexible inverse design sampling based
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one skeleton, but may leave many of tracks in their lifetime, often occur in stratigraphic levels where bone is rare, filling key gaps in the fossil record, and are more likely to be found in-situ
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. Changes in water table pre- and post-restoration will be monitored using the existing network of piezometers distributed across the floodplain and additional piezometers installed. Additional measurements
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theory and real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will
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real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will work
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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, and providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Computer Science group is part of the School of Computing
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University’s efforts to address this challenge by supporting development of an active network Design Tool for low voltage distribution networks. This tool is a key component of the flagship D-Suite project led