192 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Oxford
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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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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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Capital.com, one of the world's leading trading platforms with millions of users, gaining unprecedented access to proprietary data to conduct frontier research. The project encompasses multiple research
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uncertainty. This post is fixed-term and part time (20hours per week) until 30 September 2026 You will hold a relevant Bachelors or Master’s degree in statistics, computer science, information engineering, or
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life and what happens when families are unable to support young people’s digital lives. Responsibilities include: • Supporting and conducting data collection across the research phases
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be