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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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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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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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, building networks across academia and industry, and shaping the future of fashion innovation. RCA Benefits available here: https://www.rca.ac.uk/more/work-at-the-rca/staff-benefits/ The Royal College of Art
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and analyzing global field datasets from contrasting timber production systems in order to identify which landscape-level combinations of systems best balance biodiversity, carbon, and yield outcomes
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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part of your personality: Completed doctoral/PhD studies in theater and performance studies Publications in the field of theatre and cultural studies Lectures and international networking activities in
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minoritised groups (including refugees and people seeking asylum) to understand how community networks and social practices promote mental health in hostile contexts. You will also collaborate closely with
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including