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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, developing research proposals, management of research projects, supervising PhD, postgraduate and undergraduate students, demonstrating research excellence and leadership to more junior members in the research
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methods that integrate multiple spatial omics layers with histology and clinical data to predict the spatial organisation of the tumour microenvironment in brain tumours. This position offers an exciting
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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multiple tools to ensure OLAs, SLAs and KPIs are met. This is an on-site position, typically following standard office hours, with the expectation that the successful candidate will occasionally provide
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Environment (SDE). Data extractions from the SDEs involved in this study will occur at multiple time points during the project. The postholder will work closely with Dr Merriel and the lead statistician in
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-ordinate multiple stakeholders both at The University of Manchester and with other external education and health organisations requiring the ability to collaborate with colleagues at all levels. Experience
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proteins to obtain new mechanistic insights. These findings will be clinically valuable in multiple collagen-diseases, including lung fibrosis and chronic skin wounds. You will interact closely with
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multiple members of the project team. This includes core administrative tasks linking with internal finance teams, the trial sponsors team, the clinical site, external clinical monitoring teams, contracts
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team, you will play a pivotal role in delivering high-quality IT support and driving continuous service improvement across the University. You will lead and manage multiple projects and services, and be