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devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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"Multi-modal analysis of nucleic acids from liquid biopsies for cancer monitoring” Description The Translational Onco-genomics and Bio-Informatics lab (TOBI-lab; tobi.ugent.be) at the VIB-UGent is
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) to advanced computational analysis. A general strong interest in quantitative approaches towards biomaterials problems is essential. Since JGU Mainz offers excellent training in various aspects
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes
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Kim (DANDRITE) This project explores how mutations in chromatin-modifying genes disrupt early neurodevelopment by systematically profiling in vitro neurons using multimodal single-cell and spatial