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to the vacant position: The Spatial Biotechnology Group is seeking a motivated and skilled Postdoctoral Researcher with expertise in computational biology and data science to join our team. This position offers
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Contract type: Fixed term for 2 years in the first instancewith the possibility to extend for a further 3 Hours: Full-time About the role We are seeking a highly motivated and ambitious Postdoctoral
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annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? Spatially resolved genomics unlocks unprecedented insight into tissue architecture
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. The post-doctoral student will be responsible for implementing the display and visualisation of spatial and urban data, carrying out the study and evaluation of these representations, and contributing
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Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
progression. The selected candidate will perform single cell and spatial transcriptomic analysis. - Cell preparation for transcriptomic analysis. - Data mining using pipelines developed by the laboratory
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that bridges architecture, urban studies, and planning, with a focus on African contexts and global challenges. Position Overview SAP+D invites applications for a Postdoctoral Researcher to contribute to a
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annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year The Applied Spatial Biology Oxford Group has an exciting opportunity for a Postdoctoral Research Assistant to join
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The Applied Spatial Biology Oxford Group has an exciting opportunity for a Postdoctoral Research Assistant to join their team. The work will be jointly supervised by Professor Helen Byrne