14 data "https:" "https:" "https:" "https:" "BC3 Basque Centre for Climate Change" PhD positions at University of Surrey
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2026. Later start dates may be possible, please contact Dr Gustavo Carneiro once the deadline passes. You will
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About the Project As federated learning systems become increasingly embedded in high‑stakes domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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involve extensive field-work at major nuclear laboratories, in particular in Finland, the United States and Canada. Skills in data analysis, scientific communication, radiation detection and measurement
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and reporting requirements, under appropriate data, IP, and publication governance. The work also aligns with Surrey’s GAIN programme and games provision within SAHCI, and will support standards
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the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct instrumentation of the structure, whilst effective, can be logistically expensive
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more complex correlations between the channels. Moreover, this method does not allow to easily include information from different sources, for example from nuclear experiments. Additionally, for many
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. Supervisors:Professor Paul Sellin , Professor Carol Crean and Dr Ian Riddlestone Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2026. You will
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involve extensive field-work at major nuclear laboratories, in particular in the United States. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly