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-efficiency rotary-piston expander, supporting prototype development and system-performance validation in collaboration with UK and Ukrainian partners. The successful candidate will conduct high-quality
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laboratory-scale R&D on PCM-integrated heat exchangers, develop modelling tools (e.g., COMSOL, ANSYS, TRNSYS, MATLAB) for thermal and system-level optimisation, and support prototype fabrication
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delivery of outcomes. You will also ensure the creation and support of effective collaboration and networking building, and the dissemination and high visibility of project activities. You will ideally have
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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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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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/content as it shifts to being deployed by in-house Large Language Models (LLMs). Candidate Profile: A minimum of a MSc Degree in Computer Science. Skills/ experience required include: Essentialfor the role
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the assistance and support of a mentor if required. To write up and publish the outcomes of research in high quality publications. To present papers, posters, reports at seminars, workshops, conferences etc