144 development "https:" "https:" "https:" "UCL" Postdoctoral positions at University of Oxford
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will play an important role in the development of next-generation programmable delivery systems for nucleic acids and biologics, with a focus on lipid nanoparticles (LNPs) and engineered extracellular
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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is 12.00 midday on 10 April 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
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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
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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
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absorption analyses of photocatalyst function, including operando photoinduced absorption studies, and their correlation of materials structure, spectroelectrochemical analyses and hydrogen evolution
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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
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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
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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
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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