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the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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• Validated models to support industrial adoption As a doctoral researcher, you will develop your technical expertise and research skills through collaboration with experts from Loughborough University's
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models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images
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for applications across automotive, aerospace, and power generation. Starting from modelling and parametric design of complex 3D laminated and hybrid cores, the PhD student will design and develop new motor
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focused on monitoring and modelling the training process in Premier League football players. The successful candidate will be embedded within Crystal Palace Football Club Men’s Senior Team working closely
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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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studentship (UK nationals only) Tax-free stipend: £25,000/year Full home tuition fees paid £2,000/year for consumables and travel MTC funding requires passing security checks prior to starting Project aim
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve