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Project title: Topological and Geometric Properties of Laplace eigenfunctions Department/School: SMPCS Supervisors: Sugata Mondal Second advisor: Michael Levitin Project Overview: Spectral geometryis the area of mathematics where one studies inter-relations between explicit geometric...
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PhD students, the Centre for Sustainable Cyber Security (CS2) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT, and XR cyber security to certified
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
energy systems. The global focus on safety, predictive maintenance, and lifecycle cost reduction. The rising availability of high-fidelity NDT data and accessible machine learning tools. In summary
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PhD studentship in the Probability and Statistics Research Group at the University of Sussex (UK) The Project Fourier analysis and abstract harmonic analysis provide powerful tools in many areas
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production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing a comprehensive multi-perspectives analysis approach, essential to track
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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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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and the Department for Transport. The aim of this PhD project is to develop a unified approach for risk analysis of cyber-physical transport systems. Essential transportation services are increasingly