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and commercialisation activities would be an advantage. This is an exciting opportunity to contribute to a high-impact research programme focused on decentralised, off-grid renewable energy solutions
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solar (thermal and PV) and geothermal energy with soil-based thermal storage to enable reliable 24/7 operation of adsorption desalination. We also develop low-cost sorption composites from locally
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of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible for the application and validation
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develop interdisciplinary and sector-aligned design modules, contribute to our mechanical, biomedical and product design programmes, and support the development of a new aerospace engineering programme. We
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combs and their applications in neuromorphic computing and high-speed optical fibre communications. You will also be involved in the design, development and numerical modelling of novel signal processing
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outcomes in high-quality publications. Applicants must hold a good first degree and a PhD in the social sciences, with a doctoral thesis based on qualitative research methods. The PhD thesis should
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. The research project will build on recent research performed in Dr. Perego’s team about the implementation of the mathematical Darboux Transformation in the optical domain resulting in the proposal
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cleaning staff and ensuring high standards of cleanliness and service are maintained. You will be expected to use university systems and programmes confidently, and complete cleaning audits using the app
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across teaching, research, and external engagement Driving world-class research and interdisciplinary collaboration Budget management and financial prudence People management, fostering a high-performance
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reputation in powertrain system integration and control, energy management, high-speed electric motors, autonomous vehicles, automotive fuel cells, carbon-neutral fuels (hydrogen and e-fuels), and/or real