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that has revealed the existence of scaling laws in the spatial organization of cities, particularly concerning the succession of land uses from the city center (highly urban land use) to the periphery
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, as a finite production factor, functions concurrently as an economic resource, environmental capital, and spatial determinant of investment decisions. The primary objective is to evaluate
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outcomes. In considering locational characteristics, spatial modelling will be explored where possible and intergenerational inequality dynamics will be investigated in understanding the role of parental
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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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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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-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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introduced by spatial multiplexing and nonlinear mode coupling in a multimode fiber • Multidimensional, reconfigurable all-optical feedback to provide a memory effect, thereby significantly increasing
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mechanical membrane. Compared to former strategies, here, a spatial light modulator is used to spatially shape the wavefront of the light beam. Such a modulation enables to exert simultaneously adapted optical
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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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of the Department of Human Geography and Spatial Planning, with close collaboration with the Innovation Studies Section at the Copernicus Institute of Sustainable Development. Both groups are leading internationally