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wireless technologies. The Centre for Secure Information Technologies (CSIT) is the UK's Innovation & Knowledge Centre for cyber security, hosted at Queen's. The BDM (fintech /cyber-security) will
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partners in co-designing and evaluating AI-enabled systems and contribute to research in Human-Computer Interaction (HCI) and Assistive Technology. This is an excellent opportunity for a motivated researcher
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of data for our submission to REF in November 2028. The role holder will work closely with a wide range of colleagues across the institution to coordinate and support the systems (e.g. RIS) and data
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epidemiology. We are keen for this PhD project to be student-led and shaped and driven by the successful candidate’s research interests and skills. Techniques to be used: Epidemiology Statistics and data
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The job details are shown below. For further information click on the link for the job description. We are looking for an experienced SITS Developer with strong technical skills to support and
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Discovery Programme. Producing publications based on research, you will lead on the development of research measures, data collection, and data analysis, liaising with collaborators, the advisory board, and a
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libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling
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teams, and leading meetings to clear outcomes. Organised, proactive and solutions-focused, you will be able to assimilate complex information quickly, communicate it clearly to a range of audiences and
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through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is
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of Artificial Intelligence, data science and biomedical modelling. This post is funded by Glaxo Smith Kline Research and Development Ltd. You will be part of MiMeC, a new collaboration applying mechanistic and