128 computational-physics "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
out research relevant to the Diamond-II synchrotron light source project. The successful candidate will work with members of the Diamond Accelerator Physics Group, investigating topics such as the
-
The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
-
. Applicants must hold a PhD in Chemistry or Physics (or be close to completion) or a relevant subject area to taking up the appointment. You will be expected to work well as a part of the team, and contribute
-
electronics and software. The post-holder will also have the opportunity to teach. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion in physics
-
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
-
to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
-
archaea, many of which also use histones as major chromatin building blocks, and non-model bacteria. In the lab we combine a variety of computational and experimental techniques, including phylogenomics
-
2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as their electrical charge, size and 3D conformation with
-
their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
-
We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning