198 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at University of Oxford
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to determine whether the Hubble tension arises from observational issues or from limitations in the current cosmological model by combining lensing information and dynamics of the lens to measure H0
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Licence (PIL A, B & C) to conduct or assist with intracranial surgery in animal models. Assist with obtaining research data, such as immunocytochemistry and microscopy in brain tissue, molecular or chemical
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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of Paediatrics at the University of Oxford. The goal of our research is to understand the information that shapes the complex physical architecture of the heart wall, and how it can be disrupted to produce
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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screen in collaboration with the Oxford Drug Discovery Institute. You will design, test and optimise antisense oligonucleotides to alter RNA processing defects, contribute to data analysis and
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, Reliability and Teamwork Research Unit. Specifically, they will be working to supervise data collection, cleaning and analysis and helping in the writing up and publication of the results. This will involve
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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