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, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests
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the program, ensuring their professional growth while collectively meeting program milestones on schedule. Contribute to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively