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Field
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physiology, root biology or plant–environment interactions. • Experimental approaches to studying internal plant environments or spatially structured biological processes. • Imaging, sensor-based measurements
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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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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 3 days ago
Topic: Comparative chromatin analysis of supernumerary and standard chromosomes Objectives: Compare the spatial distribution and chromatin composition of standard A chromosomes and supernumerary B
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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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system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical, spatial, and infrastructural constraints. The work aims to identify
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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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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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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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imaging with DUV spectroscopy and nanophotonics at the absolute limits of spatial resolution and sensitivity. We have a clear yet ambitious goal: To develop the most sophisticated and versatile DUV imaging