199 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Oxford
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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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Drosophila embryos and general Drosophila husbandry and genetics. You should have strong organisational skills and proven ability to keep accurate lab records, analyse data independently and communicate
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well as further information about the university and how to apply. This post is full time and fixed term for 30 months. Only applications received before midday 12:00 on Tuesday 21st April 2026 will be considered
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Assistant will contribute to data acquisition, quantitative analysis, and optimisation of experimental workflows, ensuring high standards of reproducibility and scientific rigour. The role offers
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wet and dry lab genome-wide Omics approaches and have excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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to bring projects to completion. Excellent communication skills, including the ability to write text that can be published, present data at conferences, and represent the research group at meetings
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian