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analysis. The engineering targets identified using computational approaches by the successful applicant will be validated in crop plants by other members of the consortium. This is an exciting collaborative
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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new data will be linked with information from samples previously collected during pregnancy, there will also be opportunities to be involved with analysis of multi-omic data to study mechanisms
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different modalities of microscopy (widefield, confocal, spinning disc, TIRF, super resolution), Image Processing (e.g., Fiji / ImageJ) and data analysis. • Good communication skills (written and oral
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establish routine cell surface proteome analysis using subcellular fractionation techniques, such as density gradient centrifugation and surface biotinylation followed by enrichment, to explore the surface
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relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with scientific oversight from Oxford Principal Investigators and GSK scientists
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correlating findings with analysis of patient material. You will take a lead role in conducting wet lab experimentation, applying state-of-the-art single-cell multiomic approaches, including transcriptomic
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consortium, the research involves elements of design, novel process and equipment development, modelling, manufacture, characterisation and data science. All applications must be made online using the Oxford
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the sensitivity of tumour cells to radiotherapy, with the ultimate goal of improving cure rates while minimizing side effects. A key component of our work involves translating laboratory discoveries into clinical
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be