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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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The University of Surrey is offering a fully funded PhD studentship on the topics of Deep Learning for Audio-Visual Scene Analysis, with industrial partner Bang & Olufsen. This project aims
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enabling automatic adaptation to new threats. In this PhD project, you will: - Explore continual learning techniques to improve cyber-attack identification; - Investigate the application
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The University of Surrey is offering a fully funded PhD studentship on the topic of Audio/acoustics machine learning for intelligent sound reproduction, with industrial partner Bang & Olufsen
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One PhD studentship is available in the area of machine learning theory (statistical learning theory and deep learning theory) or theoretical-oriented topics, e.g., trustworthy machine learning
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implementation of position location estimation using Machine Learning (ML) techniques has been proposed as a methodology to improve performance beyond that of existing techniques, particularly in non-line-of-sight
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About the project Deep learning could revolutionise character animation by enabling the automatic transfer of poses from observations like 2D images to 3D characters. This project aims to tackle
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PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left
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PhD Supervisor: Dr Alexander Wittig Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial) Project description: Interest in more complex dynamics of space trajectories
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Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural