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understudied. Building on novel insights related to TR NK cells from this work, we will address questions related to metabolism and spatial localization of human TR NK cells at steady state in this PhD-student
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Alzheimer’s disease. Our studies build upon in vivo and in vitro models as well as on analysis of human clinical samples, in order to elucidate the molecular and cellular mechanisms for resolving
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populations. In addition, the project will use spatial transcriptomics to understand the dynamics of local progenitor cell neighborhoods. Your profile We seek a curious, highly motivated, and creative postdoc
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of the doctoral student The PhD project will aim at integrating single cell clonal, spatial and dissociated cell transcriptomics data for 3D neurodevelopmental reconstruction using a machine learning approach and
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the analysis and manipulation of transgenic mouse models to study enteric glia morphologies, their functions and neural fate potential. The student will generate and analyse spatial and regular transcriptomic
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about mouse brain anatomy. Interest in working with laboratory mice, mouse models of autism spectrum disorder as well as single-cell/spatial transcriptomics data analysis approaches. Ambition of leading
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group belonging to the unit of surgery and oncology. Your mission The group performs research on colorectal and pancreatic cancer and is looking for assistance with histological data analysis for a
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national and international research collaborations. Read more about the group here. Duties This project aims to create a spatial-resolved proteomic and imaging map of mitochondria in astrocytes from
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cells from liver and blood. You will be exposed to advanced immunological methods such as high dimensional flow cytometry, multiplexed imaging (MACsima) and spatial transcriptomics (Visium). We
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should be familiar with and be able to demonstrate experience with the analysis of single cell or spatial genomics datasets in R or Python programming. Fluent written and spoken English is mandatory. What