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tailored treatments for this disease. Working within a collaborative research environment, you will apply expertise in molecular profiling, single-cell and spatial technologies, and pre-clinical cancer
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, variable-density groundwater flow and fresh-salt transport modelling, field evidence and applied spatial decision support. You will improve and apply an existing calibrated, high-resolution groundwater model
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critical role in advancing climate resilience for the Pacific Northwest and requires advanced analytical skills using spatial and quantitative analysis methods and mixed methods research approaches, as
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research, geography, GIS, spatial analysis, or data science. Experience with Geographic Information Systems (GIS) software. Experience working with datasets and maintaining organized records. Strong written
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Fixed-term – 12 months Employment period: 20.10.2026–20.10.2027 Specialization and field of activity: Archaeology – History and archaeology of Roman Dacia: GIS methods and spatial analyses, photogrammetry
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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and spatial profiling, and computational analysis to advance understanding of cancer and improve patient outcomes. You will have the opportunity to contribute to impactful research projects while
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interests and responsibilities. The division is fully equipped to study spatial and general tissue proteogenomic profiling, multiplex labeling, image analysis, and practical AI applications related
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, satellite or aerial imagery, road networks, building footprints, utility features, and other digital maps. The research will emphasize spatial accuracy, confidence estimation, and uncertainty-aware mapping
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to prepare and analyze geospatial data, maintain high-quality spatial databases, and create maps and web-based products that support research, community planning, and action. You will collaborate with