118 image-processing-postdoc Postdoctoral positions at University of Oxford in United Kingdom
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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mentoring junior researchers and collaborate with faculty, DPhil students, and postdocs across engineering, computer science, government, and law disciplines. The role is full time 2 years fixed term
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2025. 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 research staff. To help them
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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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ZEISS LLSM, ZEISS Elyra, ZEISS 980 confocal, PicoQuant FLIM, PicoQuant Luminosa, and bioimage analysis of fluorescence microscopy images. You must have the ability to manage your own academic research and
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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research and associated activities are essential. A medical qualification and experience of analysing big data would be desirable. Diversity Committed to equality and valuing diversity Application Process
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essential as is the ability to work effectively independently and collaboratively. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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About the role The Lu lab is interested in the mechanism by which cancer karyotype mutates and becomes resistant to therapy, with the aim of finding new ways to treat cancer more effectively. We
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administration function operates efficiently. You will assist with managing the process of recruitment and admissions for postgraduate students and ensure that students on course receive a high-quality service