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Interview Date: To be confirmed Together we can deliver a transformative student experience. The University of Southampton is a global top 100 university, offering well-established Pre-sessional
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Interview Date: To be confirmed Reference: 2765424AR Together we can deliver a transformative student experience. The University of Southampton is a global top 100 university, offering well-established Pre
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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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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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for you to be exposed and trained to handle the interdisciplinary challenges faced in the real-world via a Systems Thinking approach. You will learn about the wider challenges of research and innovation
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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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model reconstruction. Supervisor Associate Professor Hansung Kim Vision, Learning and Control Research Group School of Electronics and Computer Science, University of Southampton http://www.3dkim.com/Eng
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PhD Supervisor: Dr Marcus Newton Supervisory Team: Dr Marcus Newton, Dr Dan Porter, Prof Steve Collins, Prof Paul Quinn Project description: The University of Southampton is expanding its PhD
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in the area of dynamic system modelling with knowledge of signal processing and machine learning as all three areas are essential to achieve the aims. You should have a proven track record in at least