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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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of new materials using earth-science specific knowledge on texture, structure and composition of complex natural materials. We also welcome research on nature-inspired solutions to societal challenges, e.g
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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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particle geometry in three dimensions using slice-and-view FIB-SEM analysis. Determining mineralogical and chemical properties (composition, zoning, crystallographic orientation) using complementary electron
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programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference
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will work closely with a PhD student investigating how peat composition and quality, microbial strategies and electron acceptor availability interact to determine decomposition rates. You will also work