171 post-doc-image-processing Postdoctoral positions at University of Oxford in United Kingdom
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experience, and an enthusiastic interest in the research projects selected. Please see the ‘Job Description’ for the full list of selection criteria. This is a full-time post offered for a fixed-term of three
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loans • Membership to a variety of social and sports clubs The post is available on a flexible hybrid basis. The minimum on-site time is 2 days/week About the Role The post is funded
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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shape grant applications, present your work at conferences and foster integration between computational and experimental efforts across the lab. This post is fixed term for 3 years. https
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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or image analysis. The post is full time and fixed term until 30 June 2028. The closing date for applications is noon UK time on Friday, 11 July 2025 You will be required to upload a CV and Supporting
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migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a