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and device design domains. In addition to field specific skills, the University of Southampton training and mentoring programmes will provide training in report writing, project management, time
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privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models
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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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our high-fidelity multidisciplinary design optimisation (MDO) framework for the design of BLI fans. The proposed MDO is based on adjoint aerostructural optimisation, augmented with machine learning
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and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning
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), the technology is being applied to health-related problems. The University of Southampton with funding from the NIHR Southampton Biomedical Research Centre have a range of PhD opportunities involving
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(notably through neural networks and machine learning) is now emerging as a means both to implement and to optimise the control. The Smart Fibre Optics High-Power Photonics (HiPPo) programme is a new £6
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Supervisory team: Dr. Xu Fang Project description: The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project
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to Exa-scale computing Collection and production of databases (DNS) for different flame regimes and fuels (to also be used for machine learning training in parallel projects) Investigation of interaction
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Project title: Next Generation Machine Learning for Data Analysis Supervisory Team: Dr. Andersen Ang Project description: We are seeking highly qualified candidates for doctoral positions