436 affective-computing-"https:" "https:" "https:" "University of St" Postdoctoral positions in United Kingdom
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University London (Tooting Campus) working in the Lymphovascular Research group. The post holder will be involved in the development of novel tools to build our understanding of the impact of Primary
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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: The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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Applications are invited for a Postdoctoral Research Assistant in Computational Condensed Matter Physics. The post is available initially for a fixed-term duration of 18 months. This project will
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impact? We are currently seeking a/an University Assistant postdoctoral 51 Faculty of Physics Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work
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research programme transforming the diagnosis and management of suspected seizures. Starting in June 2026, this three-year role is central to a multi-million-pound project funded by the Engineering and
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well as the exciting opportunities this role presents, we also offer some great benefits which can be seen in the link below: Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Our commitment
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working