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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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related to staff position within a Research Infrastructure? No Offer Description This PhD explores how citizens, spatial context, and devices jointly shape the behaviour of future wireless networks
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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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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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Vacancies 2x PhD positions in the Mathematical Foundations of Machine Learning on Graphs and Networks Key takeaways The Discrete Mathematics and Mathematical Programming (DMMP) group
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Start date: 28/09/2026 Fee status: UK Duration *: 4 years 1st Supervisor: Alice Johnston 2nd Supervisor: Robert Grabowski This project is to investigate how urban blue networks can be optimised
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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– Revisioning Public Interest Media – is a four-year Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to reimagining how Public Interest Media can remain relevant, sustainable, and impactful in a
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This PhD studentship covers fees and stipend for a home (UK) student to investigate how urban blue networks can be optimised to enhance ecological resilience and community wellbeing. The project
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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