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student with an aerospace, mechanical engineering, or physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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funded PhD position is available to evaluate variation in spinal treatments using engineering methods. Specifically, the project will develop and validate novel computational testing methods to evaluate
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based
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Advert title: A randomised controlled trial into the effectiveness of the behavioural change and weight reduction programme via the Slimpod app: brain and psychological adaptations Project advert An
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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. The operation of safety-critical components is often contingent on the avoidance
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
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of Medicine) – neil.nixon@nottingham.ac.uk Funded by the Mental Health Mission, Office for Life Sciences/NIHR, as a single PhD Studentship Award, we have a fully funded (stipend at UKRI rates, PhD fees (for UK