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Field
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limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine. Required
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through the analysis of oceanographic samples, interpretation and synthesis of multidisciplinary datasets, dissemination of research findings through publications and presentations, and archiving of data in
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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, electrical polarisation and, then evaluate cell-matrix interactions using live-cell imaging, molecular assays and, spatial transcriptomic approaches to identify key mechanisms linking matrix mechanics
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, with a PhD in Natural Sciences/Life Sciences and a dissertation field of Biology. Experience in advanced analysis of fMRI (specifically, analysis of grid-like responses in the entorhinal cortex, resting
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with the analysis of scSeq datasets from human peripheral blood mononuclear cells and varied disaggregated tissues (e.g. synovium, gut, skin) Excellent bioinformatics skills, including proficiency with
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from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples
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develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis
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well as collaborative work on the high-resolution structure of the podocyte slit diaphragm. The Oxford Kidney Pathology (Bull) Group have an interest in structurally informed analysis of kidney spatial transcriptomics