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, imaging techniques and bioinformatic analysis of microscopy images, RNAseq data and/or spatial transcriptomics. Experience with confocal imaging, human fetal cortex tissue, RNAseq and image analysis are all
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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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will also develop skills in mathematical modelling and spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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, the development of clinical diagnostic assays, and bioinformatic analysis of next generation sequencing data would be a distinct advantage. Experience with samples related to Melanoma and Head & Neck cancer
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
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in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
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cellular immunology and be proficient in analysing complex single-cell data. We utilise cutting-edge techniques, including high-dimensional flow cytometry (using CyTek Aurora) and single-cell transcriptional
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part in designing, organising, and administering a panel data collection in English secondary schools and bring your own research interests and expertise into the project. The initial phase
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in analysing complex single-cell data. We utilise cutting-edge techniques, including high-dimensional flow cytometry (using CyTek Aurora) and single-cell transcriptional profiling (using 10x Genomics