129 web-programmer-developer "https:" "https:" "https:" "https:" "Newcastle University" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Experimental Psychology is a large, internationally recognised department with a high volume of
-
:00 on Monday 23 February 2026. Interviews will be held as soon as possible thereafter. At the Dunn School we are committed to supporting the professional and career development of our postdocs and
-
months. The project involves developing and applying a novel integrated platform to study the chemical molecular mechanisms and signalling consequences of reactive small-molecule metabolites within
-
challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Experimental Psychology is a large, internationally recognised department with a high volume of
-
high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You should possess a PhD in a
-
samples and experimental models, with implications for autoimmune and metabolic disorders. As a Postdoctoral Researcher, you will primarily be responsible for the development, design, and execution
-
as soon as possible but must be available to start by 1 April 2026 at the latest. This project aims to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks
-
Victoria Nash and become a member of Nuffield Foundation Emerging Researchers Network. The Emerging Researchers Network supports early career researchers working on Nuffield-funded projects to develop
-
to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
-
geothermal processes along the volcanic arc, inform future field deployments, and serve as benchmarks for the development of new deep learning methods for volcanic seismicity. This project will apply deep