105 developer-"https:"-"https:"-"https:" Postdoctoral positions at University of Oxford
Sort by
Refine Your Search
-
This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
-
for the detection of small molecules and biopolymers, contributing to the advancement of next-generation analytical technologies. The successful candidate will play a leading role in developing and refining existing
-
absorption analyses of photocatalyst function, including operando photoinduced absorption studies, and their correlation of materials structure, spectroelectrochemical analyses and hydrogen evolution
-
together leading researchers from Oxford, Cambridge, UCL, and Glasgow to develop next-generation brain stimulation and modulation systems. We are looking for a Postdoctoral Research Assistant in
-
for developing the infectious diseases ethics and global health research collaboration between Ethox, the Berman Institute and the wider GLIDE Network. To be considered, you will hold a PhD/DPhil in bioethics
-
challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We are seeking a researcher with expertise in mathematical modelling and an interest in collaborating with researchers
-
shares and inheritance statistics in developing and developed countries. This is a fixed term role which will end by the end of February 2027. About you You will hold, or be close to completion of, a PhD
-
skills to manage academic research projects and associated activities, who will be able to play a leading role in developing Israel Studies at the University of Oxford. The researcher will work alongside
-
cavitation detection, imaging, and monitoring. You will be responsible for engaging in reactor design, construction, development, and characterisation. You will also be expected to integrate a cavitation
-
funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve