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create knowledge. We are looking for an early career researcher or PhD student at their final stages to work with us in the UKRI CHAILD project. CHAILD is UKRI-funded project that aims to establish a
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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model checkers; proofs of safety and/or security properties; programming languages and/or type systems; concurrent and/or distributed algorithms; and related topics. The successful applicant will work in
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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stimulating academic environment. A successful applicant is expected to be either a postgraduate student, probably in the latter stages of research leading to a PhD degree (or equivalent), or a post-doctoral
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for recent PhD graduates to establish independent research careers. These 6-month fellowships (October 2025 - March 2026) offer a crucial bridge for promising researchers to develop their careers while
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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Stipendiary: 4 years fixed term Stipend: £32,428 (with a PhD) or £26,376 (without a PhD) The College invites applications for a stipendiary Junior Research Fellowship in specified areas
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to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to