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ensure that they have the right to work in the UK or be able to secure this through another means without the sponsorship of the University. Further information about sponsorship is available on the UK
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evaluation to assess the effectiveness of different interventions. This will involve collating and analysing qualitative and quantitative data; identifying, summarising and presenting insights to help
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the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare. We are particularly looking for an IC
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information is captured and shared in a central project management system. Delivering training and information events. It is essential that the RGCM is highly organised, pays close attention to detail, and has
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systems, including Computer Aided Facilities Management (CAFM) system / other general electronic/digital record keeping systems. Good communication skills and an ability to discuss with and influence
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quantitative data, and refining working hypotheses where appropriate. You will carry out collaborative projects with colleagues in partner institutions, contribute ideas for new research projects and research
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Specification for full details of this role. Further information For further information please contact Hugo Lambert, e-mail f.h.lambert@exeter.ac.uk or telephone (01392) 724020.
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with a high degree of accuracy and meet deadlines is an important element in this role. Additional Information Further information is available in the job description: JD - Library Assistant - User
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similar customer-focused role is essential, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role
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to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model