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biodiversity loss under different climate and pollution scenarios. The DR will apply graph neural networks (GNNs), especially temporal graph networks (TGNs) and spatiotemporal graph neural networks (STGNNs
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mobilisation theories and how they can be operationalised. Familiarity with implementation science frameworks and methodologies. An excellent understanding of knowledge mobilisation approaches e.g. networking
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development (Flutter or equivalent) Contensis CMS Integration with Azure, Microsoft Graph, and Power Platform Source control, CI/CD, and DevOps processes Responsible for development, maintenance, and third-line
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values, and appropriate delegation. Work with learners to develop clinical skills integrating theory to practice, developing an understanding of safety and risk minimisation and effective person-centred
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. Required Knowledge, Skills, Qualifications, Experience Knowledge: In depth specialist knowledge of Immunology theory and practice particularly in relation clinical immunology diagnostics. Detailed