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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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Physics-Informed Data Assimilation in Wall-Bounded Turbulence School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline
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on a lattice. TDA is a technique that extracts key, persistent features from large datasets by analyzing their "shape." Instead of examining all data points in a point-cloud simulation (such as the one
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that extracts key, persistent features from large datasets by analyzing their "shape." Instead of examining all data points in a point-cloud simulation (such as the one obtained from a simulation of a
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November 2025 Details We offer a PhD position working on developing retrieval-augmented, multi-modal, and explainable Large Language Models (LLMs) for fact-checking. Nowadays, social media is becoming
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collisions at an unprecedented energy of 13.6 TeV, delivering the largest amount of available data yet. The ATLAS experiment itself is a general purpose detector that allows to study a large range of particle
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gradually align their behaviour through a small amount of interaction or shared information, much like pendulum clocks on the same wall eventually ticking together. In turbulent flows, synchronisation is a
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. The key question is whether these highly collimated magnetised plasma jets are indeed able to supply the measured mass flux of the solar wind. Their big cousins, macrospicules, were discovered more recently
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some mandates, long-only weights. A large body of work formulates index tracking as an optimisation problem with convex losses and penalties, or as mixed-integer programs that directly control support
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honours degree, or equivalent experience, previous administrative experience, ideally in higher education, and a strong interest in the collation, analysis and presentation of data. Main duties and