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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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facility inspection, surveillance, face recognition, crowd counting, and vital sign measurement. The integration of deep learning into multimodal information fusion has recently attracted significant
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an opportunity to delve into the area of geometric deep learning within the broader landscape of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and
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Vacancies PhD position on Investigating Approximate Architectures for Energy-efficient Processing of Deep-Learning Algorithms Key takeaways With the advent of intelligent Internet-of-Things (IoT
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research in 3D scene analysis and generative diffusion models. Project description This PhD position offers an opportunity to delve into the area of geometric deep learning within the broader landscape
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or mathematical statistics, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is August
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The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics or mathematical statistics, focusing on geometric deep learning. The position covers four years
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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By