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system will enable single-shot, real-time 4D Imaging, going beyond the current state of the art. This project will focus on two main steps: 1. Developing real-time tomographic 4D imaging using multiple
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and execute tasks with multi-modal heterogeneous data (e.g. text, location, and images), associated with diverse applications, such as earth observation, climate, and phenotyping. Developed models will
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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: opportunities to utilise prototype automated vehicles, new test tracks, and advanced digital twin infrastructure. Industry integration: direct collaboration with industry leaders and government stakeholders
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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will develop new mathematical tools to analyse brain imaging data using persistent homology, a method from topological data analysis (TDA) that captures the shape and connectivity of complex data across
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to unravel the complexity of multimineral salt crystallization using cutting-edge experimental methods combined with advanced 3D imaging. Your research will provide fundamental insights into how multiple ions
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populations to minimise contact between people and limit opportunities for transmission. They encompass multiple measures and behaviours including workplace closures, working from home, closure of non-essential