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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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Work Location(s) Number of offers available1Company/InstituteCentre of Studies in Geography and Spatial PlanningCountryPortugalState/ProvinceCoimbraCityCoimbraGeofield Contact City Coimbra Website https
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and implant models Histology, advanced microscopy, and micro-computed tomography Spatial transcriptomics as well as molecular and bioinformatic analyses The candidate will work in a highly
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integrating single-nucleus epigenomic profiling of brain immune cells with high-resolution spatial transcriptomics. The PhD candidate will characterize epigenetic and transcriptional states of immune cells in
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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-term epigenetic reprogramming in microglial cells, and microglia–T cell interactions. Using state-of-the-art approaches including single-cell and spatial transcriptomics, functional imaging, and
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student interested in doing research in behavioral economics with a focus on improving environmental and development outcomes for society? The Department of Spatial Economics at the School of Business and
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systems remain too complex for widespread commercial use. This project aims to overcome these barriers by developing a high‑resolution spatial light modulator based on high‑aspect‑ratio silicon pillars