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Field
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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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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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and shipping for multiomic and spatial transcriptomic analysis. Validation of targets identified will be performed using bespoke organoid biology approaches on primary tumour and genetically engineered
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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
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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
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implementing agroecological land use and management to enhance ecosystem services delivery for society. Where to apply Website https://apply.uc.pt/IT137-25-542 Requirements Research FieldBiological sciences
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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