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manifold learning and Riemannian optimisation to leverage the underlying manifold structure for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend
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The Department of Earth Sciences are seeking a highly motivated and skilled researcher responsible for conducting a comprehensive retrospective analysis of volcanic seismicity across Costa Rica’s
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to understand and predict how technologies evolve — from artificial intelligence to net-zero innovations in energy, transport, and carbon capture. By building a global database on technological progress, we seek
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group, part of the Oxford Robotics Institute and the Department of Engineering Science, University
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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and inclusive culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering, as well as a number of family friendly
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comfortable budget to conduct both project-related activities and activities related to their independent career development; iv) benefiting from the team wide academic and not-academic network, including
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leader Pedro G. Ferreira and other members of the Beecroft Institute of Particle Astrophysics and Cosmology. The post holder will be a member of a disparate research network working independently to carry
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author