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adaptive strategies while combined theoretical and empirical approaches enhance wellbeing and reduce carbon emissions. Project objectives Construct AI algorithms employing advanced thermodynamic and machine
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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advance the use of low-carbon cements in precast concrete in aggressive ground for a range of buried structures. Precast concrete involves various types of concrete and offers a controlled environment for
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these advancements to disentangle and model behaviourally-relevant visual and semantic dimensions of visual cognition in the human brain, while increasing the ecological validity of experiments (including mobile EEG
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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models remain limited to the world of standard dynamic range (SDR). This project seeks to bridge that divide, unifying methods and technologies designed for both SDR and HDR content-spanning still images
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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: The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse
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will not be allowed to supplement fees via self funding. About the project Understanding crystal structure is crucial not only during the discovery phase, where structural elucidation is routine, but
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through a combination of experimental work, that exploits the latest digital measurement tools and state-of-the-art equipment in the Cambridge Civil Engineering laboratories, and multi-physics modelling