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Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
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Kingdom of Great Britain and Northern Ireland, the Government of Ireland, and the Northern Ireland administration. The Research Fellow will undertake research tasks during the project with the support of the project's coinvestigators based at Queen's
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the opportunity to work at the forefront of cardio-oncology science, combining sophisticated small animal radiation models, single-cell transcriptomics and state-of-the-art echocardiography. The successful
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radiotherapy for cancer. This role offers the opportunity to work at the forefront of cardio-oncology science, combining sophisticated small animal radiation models, single-cell transcriptomics and state
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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of the research theme. Some exposure to commercialisation market studies or IP processes. Strong skills in MATLAB Simulink and other modelling tools. Programming skills including software for programming DSP, PSoC
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highly productive, ambitious and collaborative member of the RICHeS Heritage Science team based in Archaeology and Palaeoecology of the School of Natural and Built Environment. They will collaborate with