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Fellowship Academy, designed to provide targeted development and support for researchers with outstanding potential, including a Fellows’ Network and bespoke mentoring. The Queen’s Global Challenges themes
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or other summaries Attending FORTH20 regular meetings and engaging in routine knowledge exchange with the wider LPIP network Working closely with the Principal Investigator, Work Package leads, and project
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, including community led energy generation, local heat networks, and the retrofit of domestic and community properties to improve social outcomes, health, and employment, working closely in partnership with
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design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks, and engaging with academic and industrial
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be part of a collaborative, interdisciplinary team working across the UK and EU, with access to real-world pilot sites and a network of academic, industry, and community. The Role: As a Research Fellow
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
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isolated from the air to improve our understanding of biodiversity data capture and of ecological networks. The research fellow will primarily be based at the People and Nature Lab on the new UCL East campus
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services to support academics, staff, students, and visitors across the Department, while managing the institution’s computer systems and network infrastructure. This role requires adaptability to the rapid
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climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project, you will contribute to develop