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energy data. The skills they will develop will be highly sought after both in university research on energy modelling and as a practising engineer in industry. The profitability and sustainability of many
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, efficiency, and the optimisation of material, energy, and waste flows. The main tasks include: 1. Developing Digital Twins: Using data from other work packages, we will create digital twins (DTs) for waste
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rate (£20,780 for 25/26, exact rate TBC) A generous support package to fund relevant equipment and travel. Application Information Applicants should apply via the University’s admissions portal (EUCLID
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used to measure motion and deformation. It provides comprehensive full-field deformation data, essential for analysing complex materials, structures and model validation. The DIC community has developed
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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for your chosen project prior to applying. Further information can be found here . Closing date Contact the department for details Additional information Postgraduate Research Funding Contact details
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will be filled once a suitable candidate is identified. Further information Informal enquiries are welcomed and should be directed to Dr Sebastian Neira Castillo – s.neira@ed.ac.uk . Formal applications
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to applicants eligible for UK home
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