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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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aspiring computer science researcher interested in deep neural networks? Do you want to understand the fundamental limits of machine learning? Then you have a part to play as a PhD candidate. By
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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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The project: An exciting opportunity is available for a talented and motivated PhD candidate to pursue cutting-edge research on applying generative artificial intelligence and reinforcement learning
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of four years of full-time doctoral education is required. The research group The research group is led by Fredrik Strand, MSc MD PhD, who has a mixed background of medicine, engineering and economics, and
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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
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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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Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex