706 maynooth-university-programmable-city-project Postdoctoral positions in United Kingdom
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incredible place to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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selection. This role will address two key aspects of programme development, the design and construction of new bioluminescent and other reporter strains of human fungal pathogens, to support the development
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incredible place to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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– Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career. The University is located within a beautiful historic city, home to a
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PI Dr Ali Meghji on a project entitled 'Theorizing the global field: the de-Americanisation of Pan-Africanism'. You will have research experience and specialist knowledge in archival and historical
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PI Dr Ali Meghji on a project entitled 'Theorizing the global field: the de-Americanisation of Pan-Africanism'. You will have research experience and specialist knowledge in archival and historical
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to define your career. The University is located within a beautiful historic city, home to a UNESCO World Heritage Site, and surrounded by stunning countryside. Our talented scholars and researchers
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with