466 computer-science-quantum-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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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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Innovation (UKRI). The research builds upon our expertise in understanding and predicting novel magnetostructural coupling schemes in quantum materials. We employ theoretical analyses of crystal and magnetic
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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/appointment where appropriate.) Location: Begbroke Science Park, Begbroke, Oxford The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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within the group of Suyang Zhang at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at elucidating the mechanism of transcription-coupled splicing. Specifically, the project aims
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning