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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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Supervisor: Professor Sir Shankar Balasubramanian Course start date: 1st October 2026 Overview Professor Sir Shankar Balasubramanian is seeking a student to work on the structure and function
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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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dynamics of chromatin modifications required for transposon silencing. Project details This project aims to advance our understanding of small RNA-mediated chromatin silencing using advanced genomics and
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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