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dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 - £34,610) moving to Research Associate (Grade 7) upon
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research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
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Electrical and Electronic Engineering Department, Imperial College London PhD Studentship in Damping of IBR-induced Oscillation Position Summary: Applications are invited for a PhD studentship, to
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requirements of the role. Please note referees may be contacted at any point in the assessment process. If you upload any additional documents which have not been requested, we will not be able to consider
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experience relate to the project. Highlight your experience in modelling, signal processing and neural data analysis. The studentship code BI095 in the ‘Studentship/Partnership Reference’ field When prompted
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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are invited for a three-year PhD studentship The studentship will start on1st Jan 2026 Project Description Surgical resection is the primary treatment for meningiomas, but radiotherapy (RT) is commonly used as
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contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices