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research project investigating the computational and neural principles by which multimodal information is encoded and combined in human perception. The research will combine computational modelling with
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reconciliation and compliance activities. This role is ideal for someone who enjoys working with data, following procedures, and using a questioning mindset to spot errors or unusual activity. If you are
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, technical reports, and presentations to internal and external stakeholders, supporting data-driven decision-making. Stay abreast of the latest developments in relevant technologies, methodologies, and best
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annum (full time equivalent - £27,186 per annum). Other Information: No smoking is allowed in any part of the College. Recruitment Monitoring: This post is subject to recruitment monitoring to ensure
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-on role, you will support community-based infectious disease studies that combine laboratory science, data analysis and public health research to strengthen the UK’s response to future outbreaks. You’ll
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occasionally be filtered there. Early applications are encouraged. We reserve the right to close this vacancy early if we find a suitable candidate. In applying for this role, you will provide personal data
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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of Artificial Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd (GSK) and forms part of the MiMeC Pulmonary Vascular Theme and will focus
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work and that of your team, you will support a data- and intelligence-led HR service, helping drive insight, evidence-based decision-making, and measurable impact across the university. You will lead the
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application. For further information or to discuss the post please contact rachael.stewart@chem.ox.ac.uk