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Field
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model
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your PhD journey in the heart of London at the newly established City St George's, University of London, a dynamic institution formed from the merger of City, University of London and St George's
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life-like systems from the bottom-up. We aim to enrich artificial materials with new life-like behaviour. We are based in the School of Chemistry’s new Molecular Sciences Building at the University
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treatment, material and energy flow analysis, integrated data modelling, systems dynamics modelling, circular economy, sustainability assessment performance, decision-support tool design Month when Interviews
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molecular analyses to reveal how wood pasture systems influence trophic interactions. The student will gain significant expertise in field sampling, species identification and advanced molecular analysis
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. Analysing the biotic community and abiotic factors using a variety of laboratory-based techniques including molecular analyses to reveal the impact of grassland restoration on soil. The student will gain
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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
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project will develop a rigorous theoretical framework to ensure both coordinated behaviour and safety in interconnected dynamical systems. You will design and analyse a two-layer control architecture
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model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques
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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