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algorithms suitable for multi-static and distributed geometries. Understanding the performance limits of such systems, including sensitivity to synchronisation errors, geometry, transmit time, and partial
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Engineering) Laboratory, your goal is to design and build the core predictive engine for this platform, teaching microscopes how to think and helping develop the next generation of beamlines. This is a cutting
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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clinicians) and undertake a prospective mixed methods study investigating flare symptoms as they occur, using physiological markers (e.g. heart rate and sleep from wearables) objective tests (e.g. cognitive
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Join us in the University of Exeter’s Centre for Metamaterials Research & Innovation – the heart of the UK Metamaterials community. You’ll be part of the £20 million EPSRC MetaHUB – the UK’s largest
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Centre of Excellence. This is a unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer
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experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
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. The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University
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excitation and ionization, photoionization time delays in multi-centre molecules driven by ultra-short XFEL pulses as well as to control the interplay of electron and nuclear dynamics during the break-up
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of multi-scale composites using graphene/nanoparticles reinforcement in glass/carbon epoxy composites to increase the delamination resistance. Graphene/nanoparticles, due to its nano dimension, can reinforce