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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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of dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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, ideally applied to the impacts of climate change and/or the dynamics of infectious diseases. • Computer Science and Data Science: Proficiency in scientific programming (Python or R) for manipulating large
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