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Field
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. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
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microstructure to enhance durability under fusion-relevant conditions. • Investigate scalability, producing larger electrolyte components suitable for integration into future tritium extraction systems. The PhD
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection, diagnostics, and prognostics in power
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treatments of dry fibers, such as UV or atmospheric plasma; the addition of nanoparticles to the resin; and the integration of materials like carbon fibers, carbon nanotubes, carbon black, graphene
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tests of low-emissions concretes Numerical modelling (e.g. modal, FEM, or equivalent) of a concrete FOWT concept (e.g. VolturnUS) under cyclic wave, wind, and current loading for conditions found around
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cyclic loading, varied surface conditions, and exposure to gaseous impurities, and advanced numerical modelling (Finite Element Analysis), this project aims to significantly enhance our understanding