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PhD Studentship: Quantum Algorithms for Nuclear Level Densities Atomic nuclei have a rich structure, with heavy nuclei having many excited states – of order thousands or higher. Knowledge
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LIBS can provide advantages beyond the complementary information that the two techniques can offer. While LIBS gives quantitative and distribution information of light and bulk components, LA-ICP-MS can
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underexplored. To this end, the project will explore the application of the next generation of deep learning algorithms, e.g. self-supervised learning techniques, particularly suited to infrastructure
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using delta functions in place of full conditional cross section probability distributions to represent the probability of individual reaction channels (capture, elastic, fission), potentially missing