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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 2 months ago
levels. Researchers tackle a broad spectrum of topics, including pandemic modeling and forecasting, pathogen genomics, epidemiological big-data analytics, global health informatics, and vaccine development
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Risk Management, Governance, Operational Resilience (Business continuity and Incident Response), Information Security and Compliance, Insurance Services and our Academic Quality Assurance provision
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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this Present research findings at national and international conferences Undertake data cleaning and data analysis of complex and large datasets Develop national and international collaborations as appropriate
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symbiosis of cutting-edge AI combined with human support. The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By
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of large research programmes from a variety of funding bodies, many of which are collaborative with other UK or international research groups. As Project Manager, you will provide professional support
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facilities. Previous experience working in a similar sector in marketing, communications or events would be a big bonus – but your attitude and approach are just as important. Some of the key attributes we
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and demonstrated experience in cognitive neuroscience research. Experience with fMRI and behavioural data collection and analysis, with setting up and managing large databases, and knowledge
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and