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Field
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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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, 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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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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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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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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in refining hydrocarbons. Emerging optical sensing technologies, including quantum gas LiDAR, offer the ability to detect methane concentrations remotely with unprecedented sensitivity and spatial
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 1 day 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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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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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