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Field
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resistance requires a deep understanding of the molecular mechanisms underlying pathogenesis. This project will utilize single cell transcriptomics and advanced live cell imaging approaches in combination
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dietary restriction. The project will integrate genetic, transcriptomic, proteomic, metabolomic, and gut microbiome data, with clinical and lifestyle information, to identify biological determinants
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transcriptomics) in conjuction with intravital imaging and proximity labelling tools to define the dynamic interaction of immune cells in cancer. The candidate will need to master both complex 'wet lab' techniques
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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mouse models, primary astrocyte culture, transcriptomics, and advanced imaging, you will identify the molecular signals linking neuronal JAKMIP1 dysfunction to altered astrocyte behaviour. Training across
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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and molecular biology approaches, flow cytometry, and transcriptomic and epigenomic analyses. The ultimate goal is to identify the mechanisms driving the age-associated loss of stem cell function and to
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new method to study human pancreatic tissue slices using high-resolution calcium imaging in combination with spatial transcriptomics. The researcher will develop methods to improve the viability
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for a research grant within the framework of project “ST-e.Biofilm – Development of spatial transcriptomic for the characterization of engineered biofilms”, with operation code at Funds Platform (Balcão
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured