18 machine-learning scholarships at ; University of Southampton in Ireland-United-Kingdom
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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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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Supervisory Team: Hector Calvo-Pardo; Vahid Yazdanpanah; Tiago Alves (Solar Americas ); Enrico Gerding PhD Supervisor: Hector Calvo-Pardo Project description: Machine learning (ML) holds immense
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developments in machine learning (ML) for phase retrieval. This project is a collaboration with the Ada Lovelace Institute and Diamond Light Source. If you are interested, please contact the supervisor for more
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Project title: Using machine learning to evaluate atomic force microscopy nanoindentation data Supervisory Team: Dr Martin Stolz, Dr Sasan Mahmoodi Project description: The University of Southampton
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Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills. This project looks at efficient quantum machine learning
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learning would have to provide strong justification that they would be able to complete a PhD in this field. Essential selection criteria include: Prior knowledge in computer vision and machine learning
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, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK
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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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University Guide 2022) within the University of Southampton which is ranked in the top 1% of universities worldwide. The successful candidate must have a strong background in machine learning. Prior knowledge