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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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to interpretating data It is essential that postholders are trained and signed-off to work in the containment laboratories. For this there are a number of legal requirements, such as being a UK citizen or with pre
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teaching Further Information This post is subject to Disclosure and Barring Service.
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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and quantum cellular automata, many-body quantum chaos, quantum integrability, (generalised) hydrodynamics, quantum information scrambling, entanglement measures, tensor-network theory. The ideal
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independently in a laboratory. You are also able to interpret scientific data, analyse data and write factual reports. Excellent organisational skills and ability to manage multiple projects simultaneously
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid
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analysing existing data, providing an opportunity for flexible working. It will also include supported, team-led stakeholder engagement activities, which may involve face-to-face interactions at various
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linked EHR data. This project explores socioeconomic and ethnic inequalities in respiratory virus transmission and their impact on GP services in winter and whether these pressures are evenly distributed
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Assistant will maintain frequent contact with the PIs, liaising with them to ensure efficient and rigorous collection of field data. Applicants must have a BSc or MSc (or equivalent experience) in a relevant