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Field
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Location: South Kensington campus About the role: Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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As part of the Restoration Ecology and Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Assessing and enhancing functional biodiversity in solar parks and
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, hierarchical and composable analysis and design is needed. The project will leverage tools from contract-based design theory to formalise such security and performance guarantees at multiple resolutions
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exciting opportunity for a quantitative Research Assistant to work across two projects. 1. The RA will work with linked data from the SEPMD study (mental health linked to census data) to lead data analysis
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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exhibit complex two-dimensional structures whose performance is governed by subtle variations in layer stacking and nanoscale disorder—features that are difficult to resolve with currently available
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Research Office Location: Newport, Shropshire TF10 8NB Salary: As per advert Post Type: Full Time Contract Type: Fixed Term - 36 months funded Closing Date: 23.59 hours BST on Monday 18 August
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure