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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 2 days ago
Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates. Colloid-borne transport processes can govern the migration behavior
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data
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sciences » Biology Medical sciences » Other Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 21 Jan 2026 - 23:59 (Europe/Warsaw
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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(landscape) ecologist with a broad, interdisciplinary interest with experience in spatial analysis of interactions between land use and biodiversity. Your work includes teaching courses in environmental
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across different spatial and temporal scales, from building-level energy demand to district-scale interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural