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followed. During conventional 3D imaging, the goal is to resolve every single voxel of the 3D volume. However, the underlying dynamic changes can be temporally sparse and highly localized, meaning that only
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followed. During conventional 3D imaging, the goal is to resolve every single voxel of the 3D volume. However, the underlying dynamic changes can be temporally sparse and highly localized, meaning that only
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with recent AI tools, are changing how mathematics is done. We are opening a postdoctoral position to explore what formal verification and algorithm discovery can bring to numerical analysis. There is no fixed
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, MODIS, GHSL, Open Buildings 2.5D, OpenStreetMap, Copernicus and other available datasets to characterise urban morphology, verticalisation and land-surface change, including the reconstruction of temporal
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resilience into the design and application of construction materials in response to evolving socio-economic challenges, such as climate change, social equity, occupant health, and strategic independence in
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how they choose, initiate action, sustain effort, adapt to changing contingencies and respond to acute stress. The project will collect synchronized streams of trial-level behavioral data, head/hand