494 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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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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partnership with Agrecalc (Farm carbon calculator | Home | Agrecalc ), Farm Carbon Toolkit (Home - Farm Carbon Toolkit ), and the Coolfarm tool (Carbon Footprint Calculator | Measure Water & Biodiversity
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/test articles), intrusive probes, and optical diagnostics. You’ll plan and run test campaigns, analyse data to advance understanding of material–flow interaction, and disseminate results in seminars
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sport and gym facilities and access to a 24-7 Employee Assistance Programme. • Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. • Our
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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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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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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
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for