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Field
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The push for net-zero power and propulsion technologies is leading to many new device architectures being proposed. Within these radial and mixed flow pumps and compressors feature heavily, often in
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visual data. The entire project will be carried out in two steps. Firstly, we will investigate new deep architectures and algorithms that can capture and encode causal relationships present in visual data
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Science, this project will look at the explainability of AI-based biometrics systems. The project will: Scrutinise the performance of open deep-learning architectures in facial and voice biometric modalities, assessing
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on operations. To support development of complex multi-layered systems and to inform rapid decision-making, this project will develop advanced Machine Learning (ML) architectures that learn directly from a
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to investigate the common genetic architecture underlying neurodevelopment, both as continuous traits and clinically-diagnosed neurodevelopmental conditions. Datasets come from national and international
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, the integration of these power solutions on board air-vehicles introduces specific design challenges that require the development of novel power and thermal architectures, with impact on both configurations and
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RF and electro-optic/IR sensor modalities. This project will consider a range of algorithmic and machine learning technologies including: low rank models and/or auto-encoder type architectures
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algorithms, computational modelling and how studying the brain can inspire new architectures. About the Department/Research Group The candidate will join the Bio-Inspired Machine Learning Lab, jointly led by
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inspire new architectures. About the Department/Research Group The candidate will join the Bio-Inspired Machine Learning Lab, jointly led by Dr Ellis and Prof Eleni Vasilaki. They join a strong
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software that enables us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next