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the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need. The Yvonne Hooper Learning Potential Fund
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supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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PhD studentship Family and environmental influences on children’s home learning, and inequalities in education and mental health outcomes Supervisory Team Dr Rebecca Lacey (rlacey
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We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab at the School of Psychological Sciences at Birkbeck, University of London. This post is attached to a recent grant awarded to Dr Yon from the Leverhulme Trust entitled Public Communication and Private...
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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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, or even months to derive a suitable hardware model. This limitation is only exaggerated when considering the digital representation of multicore computer systems, requiring the modelling of a broad range of