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The Theory of Structure Evolution and Structure-Property Relations in Perovskite Solar Cells (S3.5-MPS-NClarke) School of Mathematical and Physical Sciences PhD Research Project Competition Funded
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Quantum properties of hybrid light-matter quasiparticles in semiconductor photonic structures (S3.5-MPS-Krizhanovskii) School of Mathematical and Physical Sciences PhD Research Project Competition
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students
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Virtual manufacturing of discontinuous fibre composites for high-performance automotive and aerospace structures (C3.5-MAC-Qian) School of Mechanical, Aerospace and Civil Engineering PhD Research
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Advanced Control Methods for Flexible Structures (S3.5-ELE-Selivanov) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Anton Selivanov
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The complex machinery structures are usually subjected to dynamic loading, which can cause high vibration levels. The vibration levels occurring during the resonance vibrations, when the vibration
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to traverse genes and complete transcription, as well as those that abort this process by removing or destroying Pol II on genes e.g. https://doi.org/10.64898/2025.12.04.692291 ; https://doi.org/10.1016
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pipelines for image and data analysis techniques, maintaining software on shared high-performance computing infrastructure. Integration of functional, metabolic and structural imaging data across modalities
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statistical physics, control theory, and where appropriate, machine learning and data-driven techniques. The position offers a structured career development path within an active and ambitious research group
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