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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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) research group and contribute to ongoing and forthcoming research projects funded through national and European programs. The PhD project will focus on the design, analysis, and evaluation of the behavioural
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capped RNA (TLDR-seq): full-length sequencing of capped RNAs (Nucleic Acids Res 2025, doi:10.1093/nar/gkaf240 ) Spatially resolved analysis of microenvironmental gradients in cancer (Science Advances 2024
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computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology, quantitative biology (phenotyping), computational biosystems analysis
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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focusing on optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images. The research will also focus on methods to extract spatial
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combines spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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skills. Additional Merits Experience in one or more of the following areas will be considered a strong advantage: Single cell and spatial multi-omics analysis Complex Cellular Systems/ Organoid models