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Experimental and numerical study of manufacturing induced defects in structural integrity of a Metal Matrix Composite
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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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bioclimatic data from >1000 Arabidopsis ecotypes. KEY METHODS AND SKILLS: Experimental Design and Execution of Experiments: You will learn to execute microcosm “common garden” experiments involving
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Deep learning methods for modelling of speech
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net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The automotive industry faces significant challenges in reducing CO2 emissions during the painting
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collaborative programme of research funded by the Aerospace Technology Institute (ATI) with several Industry partners, including Airbus, GKN and Renishaw. Critical for the implementation of additive manufacturing
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numerous human activities, from fishing to climate change. Effective conservation and management of marine ecosystems requires that we understand the dynamics of marine biodiversity in both space and time
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Institute (DHI) Established in 1994, the DHI’s mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of
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question in the fruit fly Drosophila. We study ultrafast morphodynamic adaptation in photoreceptor synapses to light changes using a range of methods, such as insect visual neuroscience/behaviour, image
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characteristics of the targeted communities. Polygeneration design methods, control optimisation and thermoeconomic evaluation may be used during the project. The research will benefit from our current academic