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Field
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Harnessing ecosystem resilience to inform woodland restoration
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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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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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predictive accuracy. As part of the project, the successful candidate will receive training in advanced experimental techniques and data analysis, collaborate with world-leading experts in materials science
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and compare discrete “events” of coordinated movement and use our recently developed “swaRmverse” analysis pipeline [2] to perform inter- and intra-species comparisons of collective movement [3]. Based
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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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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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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
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role: This post, funded by an ERC Consolidator Grant (DISCO), focuses on the dynamic behaviour of ferroelectric domain walls using advanced cryogenic and electrically biased 4D scanning transmission
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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