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presented in the International Image Interoperability Framework (IIIF) standard; A modern data platform to merge data from different sources into a linked data format (Linked Art) and, combined with a graph
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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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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
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& Performance department, we provide data, insight and advice that inform the direction and priorities of the institution. We’re looking for a Market and Portfolio Insight Lead to deliver clear, evidence-based
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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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would be beneficial. Additional information This role is available for internal secondment as well as external applicants. For any queries, please contact Caroline Smith (c.smith1@yorksj.ac.uk), Deputy
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project support to the Student Record Systems Programme, by playing a central role in enabling effective delivery of a large-scale digital transformation. Supporting change, training, data, and system
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of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the
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healthcare data to advance understanding of the genomic determinants of human disease. Key areas of research include an £8.8 million Wellcome Trust Discovery Award focusing on lung function impairment, multi
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying