100 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Oxford
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The Oxford Department of International Development (ODID) is seeking to recruit a Comparative Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a
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on Thursday 15 October 2026. Informal enquiries may be addressed to Prof Noa Zilberman: [email protected] Further information can be found at http://www.eng.ox.ac.uk/jobs/home The Department holds
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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The postholder will lead a programme investigating sensorimnemonic decisions: how people decide between using information held in memory vs using the external environment, during extended
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-associated virus (AAV)-based gene therapy treatments for inherited retinal disease (IRD). The successful candidate will generate translational research data required to support the preclinical development
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in analysing and interpreting complex genomic data, integrating computational and experimental findings to advance our understanding of gene function in the developing brain and support the development
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learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to [email protected] For more information about working at the Department
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movements. The post holder will develop, execute, analyse and report on a combination of state-of-the-art electrophysiological and behavioural investigations in rodents. They will utilise existing data sets
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of the Incognito Justice research team and will undertake research related to Oxford’s Work Packages. One researcher will focus on legal & policy analysis. The other researcher will focus on empirical data analysis
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and molecular data from prospective cohort studies. The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data