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experience in basic data management and analysis, population health principles, and literature reviews. The role offers opportunities to develop skills in data curation, study design, project management, and
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(SRM) may be deployed to counteract harmful effects of climate change. However the impacts of SRM on (eg) monsoons, extreme weather, and air quality are poorly understood. We seek to develop and apply
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capability, particularly in highly regulated and uncertainty-intensive sectors, as well as in organizations operating under intense public and stakeholder scrutiny. The project aims to develop a process model
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, analyse learning from past incidents and exercises, and co-develop practical frameworks or tools to support improved cross-agency working. These will be tested through scenario-based evaluation and
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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this challenge by developing modern data driven tools that help predict and manage corrosion in next generation bio refineries. The project brings together leading researchers from University of Leeds
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correspondence. Together, these materials form an insect archive that reveals evolving relationships between people and insects. The student will develop their own research questions, with wide scope to choose