20 information-systems-"https:" "https:" "https:" "https:" "https:" "Shenzhen Bay Laboratory" Postdoctoral research jobs in Ireland
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Skip to main content Postdoctoral Research Associate in Quantum Many-Body Systems Job id: 153545. Salary: £45,031 - £48,607 per annum, including London Weighting Allowance. Posted: 23 July 2026
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. 1150 to c. 1350’ (BROKENSONG) (funded by a 5-year ERC Consolidator Grant (https://www.maynoothuniversity.ie/news-events/mu-prof-karen-desmond-awarded-2m-erc-grant-research-songs-medieval-ireland-and
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excellent research and scholarship and outstanding education are interlinked and equally valued. The Family Genomics Research Group in the Department of Biology, Maynooth University (https
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to c. 1350’ (BROKENSONG) (funded by a 5-year ERC Consolidator Grant ( https://www.maynoothuniversity.ie/news-events/mu-prof-karen-desmond-awarded-2m-erc-grant-research-songs-medieval-ireland-and
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regulate intestinal adaptation, barrier function, inflammation, liver disease and other systemic processes and diseases. The postdoctoral fellow will work across complementary experimental systems
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jointly between the Hamilton Institute and Department of Electronic Engineering, with the researcher also becoming a member of the Sustainable Circuits and Systems Laboratory. The project aims to develop
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Department is currently undergoing significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. We offer a range of UG courses in both
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, behaviour change, implementation science, and health services innovation. Faculty of Science & Engineering Department of Computer Science & Information Systems Contract Type: Specific Purpose Salary Scale
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an industrial partner on characterisation and upgrading these fractions and testing their application in asphalt and heat systems. Faculty of Science & Engineering Department of Chemical Sciences
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recommendations and learn from experience to improve wireless network energy efficiency. The research combines large language models, multi-agent systems, reinforcement learning and knowledge evolution