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of Cambridge, University of Oxford, Imperial College, University of British Columbia, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid
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observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and
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of machine learning emulators for enhancing the above processes in speed and accuracy PolyChord Ltd is a spin-out company (SME) from the University of Cambridge, transferring technology from academia
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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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, candidates will need to submit a formal application to the University of Cambridge for a PhD in Physics. EU eligibility criteria for candidates: The Doctoral Candidate (DC) may be a national of a Member State
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Supervisory Team: Dr Han Wu PhD Supervisor: Han Wu Project description: In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading
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: knowledge and experience within marine technology, in particular, offshore wind turbine technology knowledge and experience within machine learning motivation and potential for research within the field
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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acquire new skills and work in new ways, to help us realise the potential of the digital and data revolutions in materials science. This is Materials 4.0. You will join a community of like-minded PhD