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Field
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this PhD, synchrotron X-ray diffraction will be used to track the evolving crystallography in steel samples over a wide range of cooling rates and isothermal dwells. The diffraction data will be interpreted
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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Application deadline: 28/11/2025 Research theme: Soft Matter and Biophysics How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD is fully funded and open to applications from home
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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November 2025 or as soon as possible thereafter. This PhD project aims to explore how emerging datasets could provide value to the UK’s insurance industry through a combination of data analytics, modelling
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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For 2026 entry, LSE will be awarding fully funded PhD Studentships . The studentships will be awarded across the School, providing full fees plus an annual stipend. They will be awarded on the basis