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signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
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challenges in agentic reasoning systems. Successful candidates will investigate novel approaches that use abstract interpretation, model checking, constraint programming, and fuzzing techniques to ensure
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of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. Eligibility criteria The project will suit students with strong
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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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• 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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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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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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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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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