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Field
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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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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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, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You will also develop skills in mathematical modelling and spatial analysis
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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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analysis of multimodal datasets linking MRI features with transcriptomic and spatial maps of human glioblastoma. While primarily computational, this position also involves supporting wet-lab validation using
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. Primary processing of single cell and spatial transcriptomics data, and more project-focused in-depth analysis. Integrate existing single cell and spatial transcriptomics datasets, use publicly available
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, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical
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-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor microenvironment. The post holder will develop experimental work flows