Sort by
Refine Your Search
-
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
-
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
-
offer the greatest opportunity for energy independence and deep decarbonisation (i.e. process heat and hydrogen) to meet net zero targets. Our programme of research, collaboration, and skills development
-
continuous seismic datasets from Costa Rica’s National Seismological Network (Red Sismológica Nacional; RSN) creating enhanced earthquake catalogues that will illuminate subsurface volcanic, tectonic and
-
network of academic and practitioner partners. The SLP’s work focuses on four themes: (1) climate litigation; (2) legally relevant climate science (like attribution science); (3) climate policy (via
-
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
-
collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
-
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
-
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
-
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