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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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undergoing rapid economic development’. This research is a collaborative project working with academics in multiple countries, to expand our understanding of whether and how media literacy and positive body
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to traditional methods of activation. A precise control of this force can be achieved when the chemical entity that is the subject of the mechanical force (a “mechanophore”) is embedded within a polymeric backbone
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in February 2026. Please note the funding is only available for Home Fees Status students. Background This doctoral research will investigate the effectiveness of Individual Placement and Support (IPS
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, voltage and reactive power control, grid stability enhancement, black start capability, and renewable energy firming. There is also a growing need for HVDC converters to provide grid-forming services
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spoken communication skills The following skills are desirable but not essential: Background in control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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at the University of Oxford has world leading expertise in flow and temperature control and cooling technologies. The research will study systems and components that will minimize any thermodynamic penalties