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Field
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts
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includes primary immune cell isolation and manipulation, high-dimensional flow cytometry, multiplex immune profiling, spatial and single-cell transcriptomics, and functional assays to evaluate immune
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in the Biodiversity Dynamics and Conservation Group, a team of about 30 persons. Our group studies patterns of biodiversity and biodiversity change at various spatial and temporal scales, with a