Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
-
language processing (large language models) to investigate the brain computations supporting planning in humans, and how this can go awry in psychosis. What We Offer As an employer, we genuinely care about our
-
Immunology, Tissue Biology, or a related biomedical field with substantial experience in bioinformatics, computational analysis, or statistical modeling relevant to these areas. You will have proven experience
-
biologist with experience working in neuronal models of neurodegeneration, ideally in human stem cell-derived models, and a good knowledge of Parkinson’s disease. In this role, you will differentiate iPSC
-
Programme Manager- GLAM Spanning the historic streets of the “city of dreaming spires,” the University of Oxford has been ranked the world’s leading university for nine consecutive years. A place
-
the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
-
large and complex organisation. IT Services is currently going through multiple changes, including the formation of a Digital Governance Unit, the adoption of a new delivery model, and the appointment
-
The Department of Computer Science seeks to employ 2 postdoctoral researchers to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
-
responses to climate change impacts. The post holder will conduct climate change attribution and projection analyses, in collaboration with colleagues with expertise in modelling health impacts. This research
-
We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in