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About you This role sits within King’s Digital, an innovative and collaborative team driving the development of online education at King’s College London. In partnership with academics
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-of-the-art Siemens Quadra Total Body PET-CT scanners. This is a very exciting time to join our team with ample opportunity to contribute to an ambitious programme developing the clinical and research
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research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process
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agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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for Artificial Intelligence, and the Digital Futures Institute. The RA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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related to staff position within a Research Infrastructure? No Offer Description About us This is an exciting opportunity to gain and develop research skills. The post-holder will join Dr Tom Pollak’s
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the immunobiology of haematological disease. The postholder will help develop their independent programme of research in molecular immunology to make a substantive contribution to KCL's portfolio of research in cell
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, consultancy work and contributions to policy development are utilised by a myriad of organisations and networks. By connecting social scientists, biomedical researchers and clinicians, we deliver research-led