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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar
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to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the School of Mathematical Sciences at the Faculty of Science, University of Nottingham
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at
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sensors and actuators, or the data and AI models that soma skins would generate and utilise. However, this initial description is just the beginning, and we are keen to hear your own interpretation of Soft
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network attractors, funded by The Leverhulme Trust. This is a brain inspired project in the field of Neurodynamics. Networks of oscillators are ideal candidates for modelling patterns of functional
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PhD Studentship: Advanced Antennas and mm-Wave Devices Enabled by Emerging Materials and Technologies PhD Project This fully funded PhD project is based at the University of Nottingham. The project
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PhD Studentship: Advanced Antennas and mm-Wave Devices Enabled by Emerging Materials and Technologies PhD Project This fully funded PhD project is based at the University of Nottingham. The project
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application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system
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Eng at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Cold Spray based activities. BAE systems provide some of the world's most advanced, technology-led