Sort by
Refine Your Search
-
, understanding and manipulating interactions between charged particles and molecules in solution (Nature 2010, Nature Nanotech 2012, 2015, 2017, 2024). Recently the lab’s work has shed much needed light on
-
properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
-
theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators
-
depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the world’s highest performance networked quantum computing demonstrators, capable of remote Bell-pair production
-
used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
-
methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
-
(e.g. Psychology, Psychiatry) together with relevant experience. They will have sufficient specialist knowledge in cognitive theory and mental health in autism, including in relation to trauma/PTSD and
-
exciting opportunity to join the dynamic research group on Digital Ethics and Defence Technologies, contributing to pioneering work at the forefront of AI and ethics. The role focuses on innovative research
-
research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
-
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global