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. The group will include diverse health professionals focusing on Asset-Based Community Development approaches. The long-term vision is to establish a Centre of Excellence for mental health asset-based
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work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience
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Dominick Shaw on des21@le.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure
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zebrafish as a primary model system for our work, where the developing heart can be visualised in living animals in real time. Please visit our website to find out more about Toby's research. About the role
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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Obstetricians at Liverpool Women¿s Hospital with broad ranging interests in all aspects of obstetric care from development of new technologies through to randomised trials of complex interventions. The successful
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has recently been awarded the Platinum EcoAward. Our vision is to embed the principles of sustainability into all aspects of our individual and collective work, integrating sustainable development
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem