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candidate will have a strong background in data science, machine learning, and healthcare, with a particular focus on leveraging AI techniques to optimise clinical trial processes and outcomes. Reporting
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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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, more agile solutions. Current machine learning (ML) algorithms identify and predict threats but rely heavily on past datasets, requiring significant updates. Continual learning offers a solution by
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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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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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adversaries might exploit quantum technology. In this project, you will conduct an in-depth threat analysis of quantum-computer attacks on cyber-physical systems, considering system configurations, data