75 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" Postdoctoral positions at University of Oxford
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 16 January 2026 It is anticipated that interviews will
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Roberts and Professor Matthew Wood at the Institute of Development and Regenerative Medicine on the Old Road Campus. The Roberts/Wood Labs at the University of Oxford is seeking a highly motivated
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Applications are invited for a Postdoctoral Research Assistant in Space Instrumentation. The post holder will join the Oxford Space instrumentation group to support the development of the Modular
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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-funded project, ML4MetaLigM. We are seeking a highly motivated Postdoctoral Research Associate to contribute to the development and deployment of MLIPs for supramolecular modelling, with a focus on self
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The Mosher lab is searching for a postdoctoral research associate to lead a project visualizing small RNAs during seed development. Plants produce abundant siRNAs from a small number of loci during
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About the role We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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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