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projects, international collaborations, and experimental campaigns using software-defined radios and UAV operation platforms. The project offers mix of theoretical development, simulation-based research, and
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is an AI-based technique that supports imitation of the preferred system behaviour by using its behavioural history. It helps in the inference of the reward values by taking the observed history
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
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to develop an SDT that simulates real-time system operation in a dynamic virtual environment. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
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excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
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. The project offers a rare mix of theoretical development, simulation-based research, and experimental validation, supported by advanced testbeds and datasets. Students will also be encouraged to present results
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scholarships or funding schemes. Students will not be allowed to supplement fees via self-funding. Application process: Please click on the 'Apply' button above to apply for a PhD in Biochemistry via