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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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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
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Project title: A machine learning enhanced digital twin toward sustainable pharmaceutical tablet manufacturing Supervisory Team: Dr Xi Yu, Dr Mohamed Hassan-Sayed, Floria Bouchier, Dr Gavin Reynolds
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16 May 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Computer science Sociology Ethics in health sciences Researcher Profile Recognised
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17 May 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Other Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom