16 linked-data-"https:"-"https:"-"https:"-"Eindhoven-University-of-Technology-(TU" PhD positions at University of Surrey
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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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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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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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to calculate level densities. The student will be part of the AWE Quantum Centre for Nuclear Defence and Security. Students will benefit from links to resources and expertise in this centre, as well as from
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including at the National Physical Laboratory, as well as local work at the University of Surrey. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly
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DCMS will provide a distinctive foundation for the project. DCMS has committed to supporting the development of the research through access to relevant data, engagement with policy perspectives, and
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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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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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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