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Field
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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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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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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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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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining
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implications for access to basic services. Develop mapping and modeling tools to visualize socio-spatial inequalities. Perform comparative studies on public policies designed to reduce territorial divides
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to agricultural water management, through key research tasks such as conducting fieldwork, contributing to land and irrigation suitability mapping, irrigation design and management, processing and analysis of data
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, clustering techniques etc.) Preferred skills in: Data analysis and/or scientific visualization (e.g. feature detection and tracking of high-level structures, classification, statistical summaries, comparisons
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies