349 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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area on our Why Join Us? - Information Page The Role and Department A 22-month fixed term full time Postdoctoral Research Associate (PDRA) position is available in the Department of Geography at Durham
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aphids. Perform viral pathogen challenge using the BBRO Virus Yellows (VY) inoculation system. Record, analyse and interpret experimental data. Contribute to reports and quarterly grant reviews
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, clinical, imaging, and general population data in a multidisciplinary research environment. The postholder will work under the supervision of PI Prof Mitul Mehta (KCL) and Co-I Amir Englund (KCL), and also
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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core responsibilities include: co-designing and co-delivering qualitative and quantitative data collection with UK audiences and media professionals (interviews, focus groups, quantitative surveys
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digital research information infrastructures in the practices of research evaluation and their governance. The project the Research Associate will work for pursues the following core research question: How
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learning systems. Reporting to the principal investigator, Professor Christopher Summerfield, the post holder will be a member of the Human Information Processing Lab. They will be responsible for carrying
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Brassart (email: Laurence.brassart@eng.ox.ac.uk ). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th
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carry out appraisals. Further information about CTC can be found at www.ctc.cam.ac.uk and the GR Group at www.damtp.cam.ac.uk/research/gr/ . Start date: October 2026 Fixed-term: The funds for this post
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging