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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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maintaining consistent operational standards. It is expected at this level that the Senior Sous Chef will also have a high level of computer literacy and a good sense of business to be efficient and cost
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and alumni relations support to the Development Office to build and enhance the development operation at Lucy Cavendish College. Working within a friendly, purpose-driven team, you will play a key role
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levels of Cu, Mo, Ni & Sn. Direct comparisons will be made with experimentally identified phases from high throughput samples. Subsequent characterisation will be performed using a combination of scanning
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