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technologies and urban health. The successful candidate will develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute
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, preferably in agriculture or mining environments. Strong expertise in hyperspectral remote sensing and geographic information science (GIS) for mapping and monitoring agricultural soils and vegetation at field
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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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ecological modeling techniques, GIS (Geographic Information Systems), and statistical analysis tools. • Publications: A strong record of publications in international scientific journals. • Communication
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. Experience with handling large geospatial dataset using High performance computing (HPC) Advances programming (e.g., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong
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, Geosciences, or a related field. Strong expertise in hydrological modeling, snow hydrology, remote sensing and GIS applications. Experience with coupled/hybrid modeling frameworks, as well as parameter
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: Proficiency in ecological modeling techniques, GIS (Geographic Information Systems), and statistical analysis tools. Publications: A strong record of publications in international scientific journals
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mentor graduate students. Qualifications: A Ph.D. in Hydrology, Environmental Science, Geosciences, or a related field. Strong expertise in hydrological modeling, snow hydrology, remote sensing and GIS