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multidisciplinary, spans multiple campuses globally and involves partnerships with industry and institutions worldwide. The Faculty is organised into three departments - Data Science & Artificial Intelligence
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
-microscopy, proteomics and metabolomics. This project will study large protein secretion systems, drug-efflux pumps and lipid transport towers to provide means to integrate spatial information and metabolic
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or unethical responses, can be manipulated into producing them when provided with a large enough number of well-crafted “in-context” examples. This raises critical questions: Why do AI models adapt so
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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I work on a wide range of topics with my local group and in collaboration with members of three large international collaborations. The central focus of my research is to understand how the observed
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understand our place in the cosmos. I am a member of most large stellar spectroscopic surveys (e.g., Gaia, SDSS-V, 4MOST, GALAH, Gaia-ESO), providing access to pan-optic data across all visible and infrared
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up