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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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to reinforced concrete slabs, each with unique stiffness, damping, and boundary conditions. These structural differences fundamentally shape how vibration signals are transmitted and recorded. This project will
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-zero target for 2050. However, injection of CO2 into deep saline aquifers initiate a series of geochemical reactions leading to mineral dissolution followed by the precipitation of secondary minerals
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of their impacts and how to quantify them. There have been attempts to estimate impacts based on empirical approaches (e.g. Bradshaw et al. 2022), while dynamic process-based models are also known
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of these systems. We lack clarity on water movement, their sensitivity to extreme weather, and the cumulative impact of different water users. This uncertainty seriously hampers planning, especially as climate
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methods to estimate food passage do not measure food directly, are impractical for many species, and often require unnatural conditions to administer. This new method directly measures the transit and
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, these robots must perceive, plan, and act in open-world conditions: never-seen objects, shifting lighting, clutter, domain shift, and multi-task requirements. These factors challenge current robotic systems
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that regulate cellular metabolism which have potential therapeutic application in a wide variety of human disease conditions. In support of this, the compounds you generate will be evaluated by other team members
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examine single measures under static conditions, lacking a system-level view and integration with future energy and socio-economic scenarios. Considering these scenarios is crucial because, amid global