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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity. The spatial distributions of such soil communities, the changes in (functional) diversity
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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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deteriorating microbial (soil) communities that are also affected by these stress factors and this may lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity
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infrastructure development; and 2) the environmental and planetary health for different water and land users, livelihoods, and landscapes. In collaboration with various societal and academic partners in Indonesia
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assays; and sediment, soil, water, air and organisms from the environment or laboratory experiments. As a research technician, you are involved in different scientific projects simultaneously, supporting
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great fit for you! Your job Root suberization is a promising example of a multi-stress protection trait. Suberin can protect a plant from losing water during drought, oxygen deprivation during flooding
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. groundwater or surface water) and soil samples. We aim not only to perform routine PFAS analyses, but also to develop methods for measuring ultra short-chain PFAS and to establish a method for direct injection