492 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in United Kingdom
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. We have been identified as the leading schizophrenia research
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programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. We have been identified as the leading schizophrenia research
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created School within the Faculty of Humanities and Social Sciences. It has a range of both undergraduate and postgraduate programmes, including programmes that are jointly run with other Schools
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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. To engage in wider citizenship to support the department and wider discipline. To engage in continuing professional development by participation in the undergraduate or postgraduate teaching programmes or by
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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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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