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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital image
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tuition fees are fully paid. You will also gain bespoke training in optical sensors, coding and responsible use of AI, a programme of transferable skills training and experience of collaboration with
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this using conventional intrusive measurements. Cranfield University has addressed this problem through non-intrusive particle image velocimetry (PIV) to measure the unsteady velocity field. This
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opportunities. You will develop practical skills in fungal cultivation, sterile techniques, microscopy, image analysis, surface characterisation and controlled environmental experiments. You will also gain
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coding, modelling and simulation, machine learning techniques, and background in battery systems is advantageous. A strong passion for designing and conducting high-quality laboratory experiments is