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that involves the development of a novel dental fissure sealant incorporating self-aligning flake glass fillers. The role will involve advancing the technology into a clinically viable, self-adhesive
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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, including during embryo development or tumour growth. Depending on the interests of the candidate, the project could develop a more specific focus on any of these particular areas of research. The work will
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networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware
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network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware network telemetry, and the implementation of new
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them in a future trial. Patient and public involvement in the development, interpretation and dissemination of findings will also be key. About you Applicants will possess a relevant PhD (or nearing
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range of disciplines, funded by the Leverhulme Trust to increase knowledge of how the relationship between humanity and the natural world is changing, and how we might maintain and develop a sustainable
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to the advancement of the project, through the development of their own research ideas and interpretation of the project. The successful candidate will work with Prof Martin Roderick as the project lead. The post is
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diversity of methods and data available to the discipline. We are further developing our core undergraduate programmes and will be recruiting world leading staff accordingly to ensure these programmes
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and